Find Your Dream Artificial Intelligence Job in India

AI Technical Architect / Engineering Lead (Generative AI & Agentic

Systems)

Experience: 8-14 years overall; 2-4 years hands-on with GenAI/LLMs

Location: Pune (Hybrid)

Function: Architecture + Hands-on Engineering Leadership

About the role

You will lead the architecture, delivery, and evolution of production-grade AI systems with a

primary focus on Generative AI and agentic workflows. You'll guide a high-impact

team across the full stack-from data and infrastructure to APIs and front-end-

ensuring performance, safety, and reliability at scale.

What you'll do

1. Own AI architecture: Design end-to-end systems-ingestion, retrieval,

agentic reasoning (planning, memory, tool use), guardrails, evaluation,

and observability.

2. Deliver agentic workflows: Build multi-agent, tool-augmented systems with robust

orchestration, fallback, human-in-the-loop, and recovery patterns.

3. GenAI solutions: Implement RAG, structured outputs, function/tool calling;

combine LLMs with deterministic microservices and domain logic.

4. Full-stack leadership: Oversee backend services (Python/Java), APIs/middleware, and

modern web front-ends (React/Angular/Vue) for AI-powered UX.

5. Data & retrieval: Architect hybrid retrieval (vector + keyword + rerankers), schema

design, chunking strategies, embeddings, and freshness policies.

6. LLMOps/MLOps: Know-How of establishing CI/CD for prompts/models,

offline/online evals, canaries, rollback, and cost/latency budgets.

7. Cloud & platform: Deploy and scale on Azure/AWS using Docker/Kubernetes; define

IaC, networking, secrets, and runtime policies.

8. Security & governance: Implement defenses for prompt injection, data leakage/PII,

toxicity; enforce RBAC/ABAC, auditability, and compliance.

9. Engineering excellence: Champion coding standards, testing/eval culture,

performance profiling, and production SLOs/SLAs.

10. Team & stakeholders: Lead a 3-8 engineer pod; mentor developers; partner with

PM/Design; translate business goals into technical roadmaps.

11. Platform stewardship: Champion and evolve our internal Purple Fabric AI platform;

drive adoption and integration across products.

12. Delivery practices: Run Agile rituals; manage scope, risks, and timelines using

JIRA and Confluence.

Must-have skills

1. Shipped AI systems: Track record of 2+ production LLM/GenAI solutions with real

users and measurable impact.

2. GenAI depth: RAG, tool/function calling, prompt engineering, structured outputs,

grounding strategies, LangChain/LangGraph/LlamaIndex and hallucination mitigation.

About Eximiets:

Eximietas Design is a technology services and solutions company headquartered in San Jose, CA India. Specialising in Cloud Computing, Cybersecurity, VLSI, Embedded Software, and Artificial Intelligence, Eximietas is dedicated to empowering businesses with cutting-edge innovations, ensuring their digital future is secure, efficient, and poised for growth. We foster a vibrant, collaborative work culture that thrives on innovation and inclusivity. Rooted in the spirit of Silicon Valley's tech dynamism, our global teams are united by a passion for excellence in technology and engineering.

Job Title: AI Engineer (Autogen, Azure AI and OpenAI)

Location: Bangalore

Work Mode - Work from Office ( 5 days )

Notice Period - Earliest joiner / Currently serving / Less than 30 days NP

Job Description:

Seeking an AI Automation Engineer skilled in GenAI, Autogen Framework, Azure AI ( All mandatory) Services, and RAG systems to build AI-driven automation solutions.

Key Responsibilities:

Develop AI solutions using AgenticAI, Autogen, Prompt engineering and Azure AI.

Implement multi-agent AI systems and RAG (Retrieval-Augmented Generation) systems.

Optimise AI workflows with Azure Functions, Logic Apps, and APIs.

Deploy and fine-tune LLMs (GPT, Claude, Gemini).

Ensure security, compliance, and performance in AI solutions.

Required Skills:

3+ years in AI/ML engineering or AI automation.

Hands-on experience with GenAI, Autogen, Azure AI Services, and RAG systems.

Strong knowledge of Python, LLMs, vector search, and embeddings.

Familiarity with the Azure cloud ecosystem.

Job Title: AI Engineer

Department: AI & Emerging Tech

Location: Hyderabad, Pune & Coimbatore

Know your team:

At ValueMomentum' s Technology Solution Centre, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.

Role Summary

As an AI Engineer, you will be responsible for building full-stack generative and agentic AI solutions-spanning from prompt logic and orchestration to APIs, UIs, and infrastructure integration. You will work in a cross-functional delivery pod to implement scalable, reusable components and rapidly transition PoCs into production-ready systems.

This role requires hands-on fluency across GenAI tools, LLM frameworks, and integration patterns, with the ability to balance experimentation with disciplined engineering practices.

Key Responsibilities

Build agentic workflows using orchestration frameworks (e.g., LangGraph, custom DAGs, FSMs)

Develop modular components: prompt chains, retrieval functions, tool integrations, fallback logic

Implement containerized APIs and UI interfaces to surface AI capabilities in client-facing systems

Collaborate with Solutions Architect to translate business use cases into working systems

Participate in prompt iteration, eval loop integration, and context memory design

Work alongside Platform & Ops Engineers to deploy and monitor systems across environments

Contribute to internal IP (e.g., RAG kits, prompt libraries, safety modules) and support demos

Rotate into client delivery teams once frameworks and practices are learned

Qualifications

6-9 years of hands-on software engineering experience

Experience with Python, LLM frameworks (LangChain, LlamaIndex, etc.), APIs, and containerized apps

Understanding of GenAI patterns: RAG, agentic loops, embeddings, streaming, context injection

Familiarity with observability (logging, prompt tracing, metrics), eval scaffolding, and CI/CD

Bonus: UI integration (React, Next.js), insurance-specific workflow experience (claims, policy, underwriting)

Preferred Attributes

Excited to work in agile, pod-based delivery teams

Comfortable balancing experimentation with code quality

Able to learn quickly, iterate fast, and collaborate across roles

Ready to move between internal innovation and external delivery

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Title: Senior Full Stack AI Engineer

Experience: 4-6 Years

Location: Remote (IST Shift) for a US based client

Engagement: Contract

Job Summary

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with 4-6 years of hands-on experience in Python, React, Cloud Services, and Generative AI (LLMs, RAG, Agentic AI).

The ideal candidate will be capable of independently handling complex technical challenges, thinking strategically, and building scalable end-to-end applications while taking complete ownership of architecture and deployment.

Key Responsibilities

1. Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Maintain clean architecture, scalability, and high code quality.
• Own the complete SDLC-design, development, testing, deployment, and support.

2. Generative AI, LLMs & Agentic Systems

• Build AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Develop and optimize RAG pipelines, vector search systems, embeddings, and agentic workflows.
• Work with vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent assistants.
• Apply best practices in prompt engineering, fine-tuning, and model evaluation.

3. Cloud & DevOps

• Deploy and manage cloud workloads on AWS / Azure / GCP.
• Design serverless architectures, microservices, and event-driven pipelines.
• Work with Docker, CI/CD, and DevOps standards.
• Ensure scalability, security, cost optimization, and reliability.

4. Collaboration & Leadership

• Break down complex and ambiguous requirements into executable tasks.
• Lead technical initiatives and mentor junior developers.
• Collaborate effectively with cross-functional teams in Agile/Kanban environments.

Must-Have Skills

• Python (FastAPI, Django REST Framework, Flask)
• React.js / Next.js
• Generative AI (LLMs, RAG, Vector DB, Agentic AI, AI Chatbots)
• Cloud Services (VMs, Storage, IAM/Auth, Functions, Deployments)
• Microservices & Serverless Architecture
• Docker & Kubernetes
• API Development & Integration
• Version Control (Bitbucket/Git)
• Agile/Kanban Methodology

Good-to-Have Skills

• AI orchestration tools: LangChain, LlamaIndex, Semantic Kernel
• API Testing: Postman
• CI/CD pipelines
• Advanced Cloud Security & Networking
• Automation Testing: Playwright, Selenium

Preferred Personal Attributes

• Highly proactive and self-driven
• Strong analytical and problem-solving skills
• Ability to work independently in ambiguous scenarios
• Excellent communication and stakeholder management
• Ownership mindset with the ability to manage multiple challenges simultaneously

Apply at

Job Description: AI Product Manager

Education

• B.Tech/B.E or MBA from Tier-1 institutes (IITs, NITs, BITS, IIMs, ISB, or equivalent)

Experience

• 2+ years of experience in Product Management, preferably in AI/ML-driven products
• Exposure to or understanding of LLMs, NLP, Computer Vision, embeddings , or applied machine learning workflows

As an AI Product Manager , you will be at the heart of shaping the future of intelligence at Eternal. From spotting high-value AI opportunities to shipping magical, model-powered experiences, you’ll craft products that feel like superpowers for our users and teams.

What You Need to Bring to the Table

• Deep curiosity about AI and a sharp instinct for what’s technically feasible (LLMs, NLP, Vision, embeddings)
• Customer obsession — keeping real-world user problems at the center of every model or feature
• Comfort operating in probabilistic environments where systems may not always be 100% right
• Passion for building scalable, ethical, and responsible AI systems
• Strong collaboration skills across engineering, data science, design, analytics, and business teams

What Purpose You Will Serve

• Identify high-value AI use cases and shape the roadmap end-to-end from data collection to model deployment
• Translate ambiguous business g

About BalanceHero & True Balance

BalanceHero India Pvt. Ltd. is a wholly-owned subsidiary of BalanceHero Co. Ltd., Korea , operating the mobile app True Balance —a one-stop platform offering financial services such as instant loans, utility bill payments, recharges, and more.

Since launching in India in 2016, BalanceHero has evolved from a balance-check app to a full-fledged financial services provider with over $84 million raised from top global investors including SoftBank , Naver , and LINE .

Our NBFC arm, True Credits Pvt. Ltd. , is licensed by the RBI and focused on bridging India’s financial gap through seamless and accessible credit offerings.

Website

AI Lab - Research Scientist

About the job

Research Scientist of Balancehero aims to achieve AI Excellence in the fintech domain by investigating actual problems in business. We are creating trustworthy and reliable AI systems for ‘Finance for All’. We are looking for a passionate, talented, and inventive ‘Research Scientist’ with a strong research background to resolve business problems.

About the Responsibilities

• Research LLM Applications on Fintech Domain
• Research AI on Fintech Domain
• Resolve Industrial Problem using AI technologies
• Engage in high impact applied research to take the latest AI de

About BalanceHero & True Balance

BalanceHero India Pvt. Ltd. is a wholly-owned subsidiary of BalanceHero Co. Ltd., Korea , operating the mobile app True Balance —a one-stop platform offering financial services such as instant loans, utility bill payments, recharges, and more.

Since launching in India in 2016, BalanceHero has evolved from a balance-check app to a full-fledged financial services provider with over $84 million raised from top global investors including SoftBank , Naver , and LINE .

Our NBFC arm, True Credits Pvt. Ltd. , is licensed by the RBI and focused on bridging India’s financial gap through seamless and accessible credit offerings.

Website

AI Lab - Research Scientist

About the job

Research Scientist of Balancehero aims to achieve AI Excellence in the fintech domain by investigating actual problems in business. We are creating trustworthy and reliable AI systems for ‘Finance for All’. We are looking for a passionate, talented, and inventive ‘Research Scientist’ with a strong research background to resolve business problems.

About the Responsibilities

• Research LLM Applications on Fintech Domain
• Research AI on Fintech Domain
• Resolve Industrial Problem using AI technologies
• Engage in high impact applied research to take the latest AI de

🚀 We’re Hiring: AI Leader for Airtel Africa Digital Labs (Gurgaon)

IIT | PhD preferred | 12-15+ yrs of relevant experience

🔥 What You’ll Lead

As the AI Leader , you will define and drive Airtel Africa’s AI strategy across:

🔹 Machine Learning for Loans & Credit Scoring

• ML models for digital lending, alternative data scoring, underwriting & risk optimization.

🔹 Computer Vision

• KYC automation, OCR, identity verification
• Retail & field operations intelligence

🔹 Generative AI

• LLM-powered automation
• RAG systems
• AI assistants, chatbots & internal productivity tools

You’ll lead a team of AI Scientists, ML Engineers, and Researchers , and collaborate deeply with product and engineering teams to take models from research → production → scale .

⭐ What We’re Looking For

• PhD preferred (or Master’s) from Tier-1 institute (IIT/IISc)
• 12–15+ years in AI/ML with 5+ years in leadership
• Expertise in:
• ML, DL, LLMs, RAG
• Computer Vision (OCR, face/document recognition)
• Fraud analytics, credit scoring
• MLOps (MLflow/Kubeflow/K8s)
• Strong hands-on skills in Python, PyTorch, TensorFlow
• Pro

🚀 We’re Hiring: AI Leader for Airtel Africa Digital Labs (Gurgaon)

IIT | PhD preferred | 12-15+ yrs of relevant experience

🔥 What You’ll Lead

As the AI Leader , you will define and drive Airtel Africa’s AI strategy across:

🔹 Machine Learning for Loans & Credit Scoring

• ML models for digital lending, alternative data scoring, underwriting & risk optimization.

🔹 Computer Vision

• KYC automation, OCR, identity verification
• Retail & field operations intelligence

🔹 Generative AI

• LLM-powered automation
• RAG systems
• AI assistants, chatbots & internal productivity tools

You’ll lead a team of AI Scientists, ML Engineers, and Researchers , and collaborate deeply with product and engineering teams to take models from research → production → scale .

⭐ What We’re Looking For

• PhD preferred (or Master’s) from Tier-1 institute (IIT/IISc)
• 12–15+ years in AI/ML with 5+ years in leadership
• Expertise in:
• ML, DL, LLMs, RAG
• Computer Vision (OCR, face/document recognition)
• Fraud analytics, credit scoring
• MLOps (MLflow/Kubeflow/K8s)
• Strong hands-on skills in Python, PyTorch, TensorFlow
• Pro

🚀 We’re Hiring: AI Leader for Airtel Africa Digital Labs (Gurgaon)

IIT | PhD preferred | 12-15+ yrs of relevant experience

🔥 What You’ll Lead

As the AI Leader , you will define and drive Airtel Africa’s AI strategy across:

🔹 Machine Learning for Loans & Credit Scoring

• ML models for digital lending, alternative data scoring, underwriting & risk optimization.

🔹 Computer Vision

• KYC automation, OCR, identity verification
• Retail & field operations intelligence

🔹 Generative AI

• LLM-powered automation
• RAG systems
• AI assistants, chatbots & internal productivity tools

You’ll lead a team of AI Scientists, ML Engineers, and Researchers , and collaborate deeply with product and engineering teams to take models from research → production → scale .

⭐ What We’re Looking For

• PhD preferred (or Master’s) from Tier-1 institute (IIT/IISc)
• 12–15+ years in AI/ML with 5+ years in leadership
• Expertise in:
• ML, DL, LLMs, RAG
• Computer Vision (OCR, face/document recognition)
• Fraud analytics, credit scoring
• MLOps (MLflow/Kubeflow/K8s)
• Strong hands-on skills in Python, PyTorch, TensorFlow
• Pro

🚀 We’re Hiring: AI Leader for Airtel Africa Digital Labs (Gurgaon)

IIT | PhD preferred | 12-15+ yrs of relevant experience

🔥 What You’ll Lead

As the AI Leader , you will define and drive Airtel Africa’s AI strategy across:

🔹 Machine Learning for Loans & Credit Scoring

• ML models for digital lending, alternative data scoring, underwriting & risk optimization.

🔹 Computer Vision

• KYC automation, OCR, identity verification
• Retail & field operations intelligence

🔹 Generative AI

• LLM-powered automation
• RAG systems
• AI assistants, chatbots & internal productivity tools

You’ll lead a team of AI Scientists, ML Engineers, and Researchers , and collaborate deeply with product and engineering teams to take models from research → production → scale .

⭐ What We’re Looking For

• PhD preferred (or Master’s) from Tier-1 institute (IIT/IISc)
• 12–15+ years in AI/ML with 5+ years in leadership
• Expertise in:
• ML, DL, LLMs, RAG
• Computer Vision (OCR, face/document recognition)
• Fraud analytics, credit scoring
• MLOps (MLflow/Kubeflow/K8s)
• Strong hands-on skills in Python, PyTorch, TensorFlow
• Pro

Location - Gurugram / Bangalore

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates

Summary :

Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments.

We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI , Agentic AI frameworks , Retrieval-Augmented Generation (RAG) , and Model Context Protocol (MCP) for intelligent multi-agent orchestration.

In this role, you’ll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state main

Location - Gurugram / Bangalore

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates

Summary :

Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments.

We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI , Agentic AI frameworks , Retrieval-Augmented Generation (RAG) , and Model Context Protocol (MCP) for intelligent multi-agent orchestration.

In this role, you’ll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state main

About Intellect Design Arena Limited

Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect’s revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge.

With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. For more information about Intellect, visit

A

About BalanceHero & True Balance

BalanceHero India Pvt. Ltd. is a wholly-owned subsidiary of BalanceHero Co. Ltd., Korea , operating the mobile app True Balance —a one-stop platform offering financial services such as instant loans, utility bill payments, recharges, and more.

Since launching in India in 2016, BalanceHero has evolved from a balance-check app to a full-fledged financial services provider with over $84 million raised from top global investors including SoftBank , Naver , and LINE .

Our NBFC arm, True Credits Pvt. Ltd. , is licensed by the RBI and focused on bridging India’s financial gap through seamless and accessible credit offerings.

AI Lab - Research Scientist

About the job

Research Scientist of Balancehero aims to achieve AI Excellence in the fintech domain by investigating actual problems in business. We are creating trustworthy and reliable AI systems for ‘Finance for All’. We are looking for a passionate, talented, and inventive ‘Research Scientist’ with a strong research background to resolve business problems.

About the Responsibilities

• Research LLM Applications on Fintech Domain
• Research AI on Fintech Domain
• Resolve Industrial Problem using AI technologies
<

The Role

You'll be the architect and owner of Neo's AI infrastructure. This means training custom models for our unique use cases, building production ML pipelines, and creating the reasoning systems that make Neo intelligent. You'll work across the full ML lifecycle - from data pipelines to model training to production deployment.

What You'll Own

1. Custom Model Development & Training

Build specialized models that foundation models can't provide. Train speaker diarization for Indian accents, fine-tune embedding models for conversational memory, develop custom NER for Hindi-English code-mixing, and optimize models for edge deployment.

Key Challenges :

● Train speaker diarization models on Indian multi-speaker conversations with code-mixing ● Fine-tune embedding models for semantic search across temporal context ● Build custom NER/entity linking for Hindi-English mixed conversations ● Optimize transformer models for mobile deployment with < 100ms latency ● Handle class imbalance in emotion detection and intent classification

Tech Stack : PyTorch/TensorFlow for model training, Hugging Face for fine-tuning, ONNX/TensorRT for optimization

2. Memory Architecture & ML Pipeline

Build the brain that remembers everything. Design temporal knowledge graphs that ingest conversations, extract ent

The Role

You'll be the architect and owner of Neo's AI infrastructure. This means training custom models for our unique use cases, building production ML pipelines, and creating the reasoning systems that make Neo intelligent. You'll work across the full ML lifecycle - from data pipelines to model training to production deployment.

What You'll Own

1. Custom Model Development & Training

Build specialized models that foundation models can't provide. Train speaker diarization for Indian accents, fine-tune embedding models for conversational memory, develop custom NER for Hindi-English code-mixing, and optimize models for edge deployment.

Key Challenges :

● Train speaker diarization models on Indian multi-speaker conversations with code-mixing ● Fine-tune embedding models for semantic search across temporal context ● Build custom NER/entity linking for Hindi-English mixed conversations ● Optimize transformer models for mobile deployment with < 100ms latency ● Handle class imbalance in emotion detection and intent classification

Tech Stack : PyTorch/TensorFlow for model training, Hugging Face for fine-tuning, ONNX/TensorRT for optimization

2. Memory Architecture & ML Pipeline

Build the brain that remembers everything. Design temporal knowledge graphs that ingest conversations, extract ent

About Us

We are a fast-growing consulting firm specializing in Data Science, Optimization, and GenAI with clients across retail, manufacturing, pharma & healthcare, financial services, supply chain, and more.

We are now looking for a hands-on Senior AI/ML Engineer (4+ years) who can lead end-to-end engagements — from exploration to deployment — with a strong focus on unstructured data, LLM applications, and real-world AI systems .

Key Responsibilities

Unstructured Data & GenAI

• Design and develop LLM-driven applications including RAG, agentic workflows, prompt orchestration, and domain-tuned models.
• Build NLP pipelines for classification, extraction, summarization, OCR/NER , and insight generation.
• Work with multi-modal data and contribute to early-stage Computer Vision use cases (classification, detection, quality control).

Forecasting & Predictive Modelling

• Implement statistical, ML, and DL forecasting models (ARIMA, Prophet, hierarchical/causal/time-series ML).
• Design model selection frameworks, feature engineering pipelines, and scalable inference engines.

Engineering & Deployment

• Build and deploy APIs using FastAPI / Streamlit , containerize using Docker , and automate pipelines.
• Deploy a

Designation: Senior AI/ML Engineer

Location: Gurugram

Industry: AI/ML Product based

About the Role

We are looking for a Senior AI/ML Engineer to lead the design and delivery of scalable, production-ready AI systems. This role combines deep hands-on engineering with technical leadership, owning the full lifecycle of machine learning solutions—from experimentation to deployment at scale. You will play a key role in shaping our AI strategy, building robust ML infrastructure, and delivering high-impact AI products in close collaboration with cross-functional teams.

Key Responsibilities

• Architect, build, and deploy end-to-end machine learning pipelines and production-grade AI systems
• Lead development of advanced ML models including LLMs, transformers, and deep learning architectures
• Design and optimize Generative AI solutions such as RAG pipelines, prompt engineering, fine-tuning, and agent-based systems
• Partner with data scientists, software engineers, and product teams to productionize ML solutions and integrate AI into core products
• Define and implement MLOps best practices including CI/CD, experiment tracking, model monitoring, and governance
• Drive technical design reviews and contribute to long-term AI infrastructure and platform decisions
• Mentor junior engineers and raise engineering standards across the AI/ML team
• Analyze lar

Designation: Senior AI/ML Engineer

Location: Gurugram

Industry: AI/ML Product based

About the Role

We are looking for a Senior AI/ML Engineer to lead the design and delivery of scalable, production-ready AI systems. This role combines deep hands-on engineering with technical leadership, owning the full lifecycle of machine learning solutions—from experimentation to deployment at scale. You will play a key role in shaping our AI strategy, building robust ML infrastructure, and delivering high-impact AI products in close collaboration with cross-functional teams.

Key Responsibilities

• Architect, build, and deploy end-to-end machine learning pipelines and production-grade AI systems
• Lead development of advanced ML models including LLMs, transformers, and deep learning architectures
• Design and optimize Generative AI solutions such as RAG pipelines, prompt engineering, fine-tuning, and agent-based systems
• Partner with data scientists, software engineers, and product teams to productionize ML solutions and integrate AI into core products
• Define and implement MLOps best practices including CI/CD, experiment tracking, model monitoring, and governance
• Drive technical design reviews and contribute to long-term AI infrastructure and platform decisions
• Mentor junior engineers and raise engineering standards across the AI/ML team
• Analyze lar

🚀 We’re Hiring: AI Leader for Airtel Africa Digital Labs (Gurgaon)

IIT | PhD preferred | 12-15+ yrs of relevant experience

🔥 What You’ll Lead

As the AI Leader , you will define and drive Airtel Africa’s AI strategy across:

🔹 Machine Learning for Loans & Credit Scoring

• ML models for digital lending, alternative data scoring, underwriting & risk optimization.

🔹 Computer Vision

• KYC automation, OCR, identity verification
• Retail & field operations intelligence

🔹 Generative AI

• LLM-powered automation
• RAG systems
• AI assistants, chatbots & internal productivity tools

You’ll lead a team of AI Scientists, ML Engineers, and Researchers , and collaborate deeply with product and engineering teams to take models from research → production → scale .

⭐ What We’re Looking For

• PhD preferred (or Master’s) from Tier-1 institute (IIT/IISc)
• 12–15+ years in AI/ML with 5+ years in leadership
• Expertise in:
• ML, DL, LLMs, RAG
• Computer Vision (OCR, face/document recognition)
• Fraud analytics, credit scoring
• MLOps (MLflow/Kubeflow/K8s)
• Strong hands-on skills in Python, PyTorch, TensorFlow
• Pro

About Intellect Design Arena Limited

Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect’s revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.Ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.Ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge.

With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. For more information about Intellect, visit

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About Intellect Design Arena Limited

Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect’s revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.Ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.Ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge.

With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. For more information about Intellect, visit

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About VolumX

VolumX is India’s first and leading company for digital humans, trusted by Oscar-winning studios and global brands. Using some of the most advance technologies, we are creating lifelike digital doubles for celebrities powering face replacements, de-aging, and autonomous digital humans.

Now, we’re pushing into AI driven performance synthesis and we’re inviting talented engineers to join us in shaping the future of content and immersive interactions.

Requirement

- Strong experience in AI/ML model development (PyTorch, TensorFlow).

- Practical experience with video generation, face replacement, digital doubles.

- Understanding of Gaussian splats / NeRF / neural rendering concepts.

- Knowledge of emotion recognition & sentiment analysis models.

- Experience with real-time inference optimization (ONNX, TensorRT, quantization).

- Background in speech processing (ASR, vocoders, prosody control) to train facial expression model . - Familiarity with lip-sync engines (e.G., Rhubarb, Wav2Lip, custom phoneme alignment).

- Strong programming skills in Python

- Experience in multimodal AI (audio + video + text).

- Experience deploying AI in cloud environments (AWS/GCP/Azure, Docker, Kubernetes).

- Hands-on expertise with STT/TTS frameworks (LiveKit, Whisper, Riva, Coqui TTS, Tacotron, FastSpeech, VITS, etc.).

Responsibilities

VolumX

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