Find Your Dream Artificial Intelligence Job in India

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job: AI Engineer (LLMs + Applied ML) - 2+ years experience

Torinit AI/ML-first work Build real systems, not demos

India Remote

Overview

Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients.

We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more world-class talent to our team.

We're looking for someone with at least 2 years of experience who's excited about LLMs + applied AI, and wants to grow fast while building production-grade AI features with a strong engineering team around them.

This is not a "you must know everything" role. If you've done a few things well, and you're hungry to learn the rest, you'll fit in.

This role requires availability from 11:00 AM to 8:00 PM IST to support cross-team collaboration.

What you'll work on (high level)

• Building LLM-powered features (chat, assistants, summarizers, extraction, search).
• Creating RAG pipelines (documents embeddings retrieval grounded answers).
• Shipping AI features via APIs and integrating into real products.
• Improving quality using basic evals + monitoring so things don't break silently.

What we expect you to already know (must have)

• 2+ years of software dev experience (you've shipped something to production).
• Strong fundamentals in JavaScript/TypeScript or Python.
• Comfort with building APIs, working with databases, and writing clean, testable code.
• Some hands-on exposure to LLMs (even side projects count):
• calling LLM APIs
• prompting + structured outputs (JSON)
• basic understanding of embeddings / RAG (at least conceptually)

What you'll learn here (nice to have, not required on Day 1)

You don't need to be an expert in all of this. We'll help you ramp up:

• Better RAG: chunking, metadata, hybrid retrieval, reranking.
• Agent workflows: tool/function calling, multi-step reasoning, guardrails.
• Evals: building a small test set, measuring quality, reducing hallucinations.
• Observability: tracing, token/cost tracking, failure analysis.
• Deployment patterns: queues, workers, streaming responses, caching.

The kind of person who wins here

• Curious by default - you keep learning even when nobody asks.
• High ownership - if it's your problem, you'll figure it out.
• Clear communicator - you explain your thinking and ask good questions.
• Excited by challenges - not scared of ambiguity, you enjoy it.

Bonus points (if you've touched any of these)

• LangChain / LlamaIndex / LangGraph (or any orchestration approach)
• Vector DBs (Pinecone, Qdrant, Weaviate, FAISS)
• OCR / Document AI (Textract, Azure Form Recognizer, etc.)
• Docker, serverless, queues, basic cloud deployments

Torinit's Ethos

Our guiding principles are the cornerstone of our success, shaping a dynamic environment where innovation, quality, and continuous growth are not just valued; they're celebrated. As you consider joining our team, we invite you to explore the values that make us unique:

• Transparent: This isn't about having access to everything; it's about fostering an environment where relevant information is proactively shared and easily accessible to our team and our clients. It is a commitment to ensuring information flows freely, enabling everyone to contribute effectively and make well-informed choices.
• Resourceful: We embrace creative thinking and encourage our team to explore inventive ways to overcome obstacles while considering the most efficient use of available resources. This is the key to our ability to excel in any circumstance.
• United: Our success is recognizing that what we do is a collective effort. It takes collaboration and teamwork within our teams and with our clients. We strive to do right for each other by creating win-win scenarios that benefit our clients, our team, and our company.
• Excellence: Excellence is the driving force behind everything we do. It's our inherent desire to continuously reach new milestones and to be the best in our field. We never settle for mediocrity; instead, we constantly raise the bar and ask ourselves, "What can I do better?".

Equal Opportunity

We are a proud equal opportunity employer, dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

*Only apply if you fit the criteria*

BON CREDIT is building an AI-first consumer fintech product to help Americans reduce credit card debt intelligently and consistently.

We’re creating an always-on AI financial companion — one that understands users, builds personalized debt-free plans, tracks progress, and nudges behavior over time using the right mix of intelligence, empathy, and action.

This is not a chatbot role.

This is not a “support AI” role.

This is a core product role where you will define how our product thinks, speaks, plans, and acts .

You will own BON’s entire AI layer end-to-end, including:

🧠 Agentic Systems

• Design and implement multi-step AI agents for:
• Debt reduction planning
• Goal tracking
• Behavioral nudging
• Financial reasoning
• Build long-term memory and user state systems
• Agent orchestration, tool calling, and planning workflows
• Architect AI systems that can reason, act, and improve over time

💬 Conversational AI (Text + Voice)

• Multi-turn, long-lived conversations with memory
• Context management across sessions
• Calm, human, trustworthy tone
• Voice agents that:
• Sound natural
• Handle interruptions
• Gu

*Only apply if you fit the criteria*

BON CREDIT is building an AI-first consumer fintech product to help Americans reduce credit card debt intelligently and consistently.

We’re creating an always-on AI financial companion — one that understands users, builds personalized debt-free plans, tracks progress, and nudges behavior over time using the right mix of intelligence, empathy, and action.

This is not a chatbot role.

This is not a “support AI” role.

This is a core product role where you will define how our product thinks, speaks, plans, and acts .

You will own BON’s entire AI layer end-to-end, including:

🧠 Agentic Systems

• Design and implement multi-step AI agents for:
• Debt reduction planning
• Goal tracking
• Behavioral nudging
• Financial reasoning
• Build long-term memory and user state systems
• Agent orchestration, tool calling, and planning workflows
• Architect AI systems that can reason, act, and improve over time

💬 Conversational AI (Text + Voice)

• Multi-turn, long-lived conversations with memory
• Context management across sessions
• Calm, human, trustworthy tone
• Voice agents that:
• Sound natural
• Handle interruptions
• Gu

Job purpose:

Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture.

Who You Are:

• 3+ years of experience in applying AI to practical and comprehensive technology solutions
• Proven expertise in end-to-end system design and deployment of production-grade AI systems.
• Proficiency in Python and ML frameworks.
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns

What will excite us:

• Experience with ML, deep learning, TensorFlow, Python, NLP.
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
• Knowledge of latest LLMs and practical hands-on of working and deploying on production ready Apps.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced, collaborative environment.

What will excite you:

• AI innovation in a fast-growing, technology-driven organization.
• Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications.
• Engage with top-tier enterprise clients and drive AI transformation at scale.


Azilen Technologies



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