Find Your Dream Artificial Intelligence Job

Location-Pune/Bangalore/Hyderabad/Mumbai/Noida/Chennai

Experience-7+

Notice Period-Immediate to 45 days

JD: 7+ years of experience spanning across traditional AI, Generative AI, IT operations and AIOps.

Generative AI Expertise

• Proven experience in developing and implementing Generative AI solutions using frameworks like TensorFlow, PyTorch, or similar especially in IT Operations and services.
• Deep understanding of Generative AI models, including Large Language Models (LLMs), transformers, and other relevant architectures.
• Experience in fine-tuning pre-trained models for specific use cases.
• Experience with prompt engineering and techniques for controlling Generative AI outputs.

AIOps Expertise

• Strong understanding of AIOps principles, methodologies, and tools.
• Experience with AIOps platforms such as Dynatrace, New Relic, Splunk, Moogsoft, or similar.
• Experience in implementing AIOps solutions for incident management, problem management, change management, and other IT operations processes.

ITSM & ITOM Proficiency

• Deep understanding of ITSM frameworks such as ITIL.
• Experience with ITSM platforms such as ServiceNow, BMC Remedy, or similar.
• Strong knowledge of ITOM concepts, including monitoring, alerting, and automation.

Technical Skills

• Proficiency in Python and scripting languages
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding and experience working on containerized environments like Dockers or Kubernetes.
• Experience in building AI applications and models including traditional AI models for anomaly detection, clustering or classification, timeseries, regression or logistics regression forecasting models

Join Our Team as an AI Specialist!

Location: Bengaluru /Delhi, India

Company: M Moser Associates

Are you passionate about artificial intelligence and its potential to transform workplace design? M Moser Associates, a leader in workplace design, engineering, and construction management, is seeking an AI Specialist to join our dynamic team.

About Us:

At M Moser, we believe in the power of innovation and collaboration. Our project teams, comprising talented designers, engineers, and project managers, are committed to creating inspiring workplaces that enhance productivity and well-being. As we continue to integrate AI into our processes, we are looking for an expert to drive this transformation.

Key Responsibilities:

• To explore the latest AI tools and technologies that are potentially usefully for our DESIGN, ARCHITECTURE, ENGINEERING, PROJECT MANAGEMENT and CONSTRUCTION works
• Introduce those tools, provide training and support to team members to use these various tools.
• Develop and implement AI solutions tailored to the needs of our projects.

Qualifications:

• Proven experience in AI, machine learning, or data analytics.
• Strong programming skills in languages such as Python, R, or Java.
• Excellent communication skills, with the ability to collaborate with all level of professionals
• Priority to candidates with experience in Architecture or workplace design and project management.

Why Join Us?

• - Be part of a forward-thinking company that values creativity and technology.
• - Work in a collaborative environment with a diverse and talented team.
• - Contribute to projects that make a real difference in people's work lives.
• - Enjoy opportunities for professional growth and development.

If you are ready to help us integrate AI into our projects and drive innovation at M Moser Associates, we want to hear from you!

Job Title: AI ML Engineer - LLM and NLP

Job Summary:

We are seeking a highly skilled and creative AI ML Engineer - LLM and NLP with deep expertise in artificial intelligence, natural language processing, and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications.

Key Responsibilities:

• Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models.
• Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools.
• Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability.
• Automate prompt workflows and integrate prompt chains with APIs and tool stacks.
• Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed.
• Stay current with advancements in generative AI, NLP, and prompt engineering techniques.
• Contribute to building internal documentation, style guides, and prompt libraries.

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus).
• 2+ years of experience working with LLMs, AI systems, or NLP frameworks.
• Strong understanding of transformer models, prompt engineering, and zero/few-shot learning.
• Must have experience with Prompt response and design
• Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms.
• Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.).
• Excellent writing skills and a sensitivity to language nuance, tone, and context.
• Analytical thinker with a structured approach to testing and evaluation.

Preferred Qualifications:

• Familiarity with fine-tuning LLMs or using vector databases for retrieval-based prompting.
• Experience working on AI-driven products in SaaS, education, enterprise, or creative tools.
• Understanding of prompt security, safety, and mitigation strategies for bias or hallucinations.
• Background in UX, technical writing, or content design is a plus.

Job Title: AI Engineer

Location: Remote

Employment Type: Full-time

About the Role:

We are seeking a skilled and motivated AI Engineer to help us build intelligent, agentic systems that drive real-world impact. In this role, you will develop, deploy, and maintain AI models and pipelines - working with large language models (LLMs), vector databases, and orchestration frameworks like Langchain. You will collaborate across teams to build robust, scalable AI-driven solutions.

Key Responsibilities-

• Design and develop intelligent systems using LLMs, retrieval-augmented generation (RAG), and agentic frameworks.
• Build and deploy AI pipelines using Langchain, vector stores, and custom tools.- Integrate models with production APIs and backend systems.
• Monitor, fine-tune, and improve performance of deployed AI systems.- Collaborate with data engineers, product managers, and UX designers to deliver AI-first user experiences.
• Stay up to date with advancements in generative AI, LLMs, and orchestration frameworks.

Required Qualifications

• 2-5 years of experience in building and deploying machine learning or AI-based systems.
• Hands-on experience with Langchain in building agent workflows or RAG pipelines.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Strong understanding of prompt engineering, embeddings, and vector database operations (e.g., FAISS, Pinecone, Weaviate).
• Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI. Preferred Qualifications
• Experience with large language models (e.g., GPT, Claude, LLaMA) and GenAI platforms (e.g., OpenAI, Bedrock, Anthropic).
• Background in NLP, RAG architectures, or autonomous agents.
• Experience in deploying AI applications via APIs and microservices.
• Contributions to open-source Langchain or GenAI ecosystems.

Why Join Us?

• Remote-first company working on frontier AI systems.
• Opportunity to shape production-grade AI experiences used globally.
• Dynamic, collaborative, and intellectually curious team.
• Competitive compensation with fast growth pot

Job Description/Preferred Qualifications Key Responsibilities:

• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.

• Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.

• Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.

• Optimize algorithm performance and resource utilization to meet business objectives.

• Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems.

• Drive continuous improvement in development processes, tools, and methodologies. Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm.

• Familiar with high performance computing, parallel programming and distributed systems.

• Strong leadership and team management skills, with a track record of successfully leading engineering teams.

• Proficiency in programming languages such as Python, C++ and CUDA.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration abilities.

Preferred Qualifications:

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications

• Bachelor's degree plus 8 + years of experience

• Master's degree plus 8 + years of experience

• Familiar with high performance computing, parallel programming and distributed systems.

A key qualification of the candidate is the ability and passion to create new ideas, analyze complex systems, formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess good oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Asia/US, etc.)

Detailed responsibilities include:

• Evaluating and improving DL/ML training sets and associated workflow processes
• Evaluating and improving DL/ML learning model performance
• Comparing and assessing various DL/ML learning models
• Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e., extracting information from noisy images)
• Working with local and global teams in all phases of product lifecycles
• Working with product engineering teams to define performance specifications and deliver to those specifications
• Providing technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects

Preferred Qualifications

• Strong background in at least one of the following areas: image processing, computer vision, pattern recognition
• Excellent mathematical and analytical skills
• Proficiency in C/C++, Python, Linux shell scripting, and object-oriented programming
• Ability to learn/ work with source code control software
• Good oral and written communications skills
• Ability to manage multiple tasks and prioritize work

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience;
• Master's Level Degree and related work experience of 3 years;
• Bachelor's Level Degree and related work experience of 5 years

About GradRight

GradRight is the world's first SaaS ecosystem that brings together students, universities and financial institutions on one platform. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner. Our vision is to be the world's leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all.

We have enabled 250,000+ students to get the best deals on $ 4+ Billion of loan requests and facilitated disbursements of more than $ 450+ Million in loans. We enable 50+ universities across US, Europe, Canada to develop their brand in India, attract the right students to apply and enroll for their Graduate programs. It has commenced a new business line of marketing, enrolling and managing the Online Programs for its university partners.

Founded in 2019, GradRight has offices across Hyderabad, Gurgaon, Bangalore, Delhi and Washington DC. GradRight's team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions like Ashoka, Krea and Plaksha University. It is led by alumni of IIT Delhi, ISB Hyderabad and BITS Pilani and University of Pennsylvania. GradRight is also the winner of the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India.

At GradRight, we are transforming how students explore and access higher education abroad using technology and data. We're building smart, AI-powered tools that help match students to the best-fit universities and financial options. Join us to shape the future of student decision-making.

Role Overview

We're looking for an AI Developer who can design, build, and optimize intelligent systems like voicebots / chatbots, and recommend agents using state-of-the-art AI models and APIs. You should be comfortable working with foundation models (OpenAI, Gemma 3.0, DeepSeek R1, etc.), embeddings, vector databases, and building end-to-end AI applications that serve real users.

Key Responsibilities

1. Design and implement AI-powered systems using APIs such as OpenAI (GPT-4), Gemma 3.0, Claude, DeepSeek R1, etc.
2. Build and fine-tune bots (chat, voice, or hybrid) that can understand and respond intelligently in natural language.
3. Use vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) to implement RAG (Retrieval-Augmented Generation) pipelines.
4. Generate and use embeddings to enhance semantic search, personalization, or recommendation engines.Integrate AI modules into backend systems (Python/NodeJS preferred), web apps, or mobile apps.
5. Optimize model calls and prompt engineering for cost, latency, and performance.Continuously evaluate emerging AI models and tools to keep our stack cutting-edge.
6. Work closely with product and data teams to ship AI features with real impact.

Required Skills & Experience

• Solid experience building AI-powered applications or bots using OpenAI / Claude / Gemini / DeepSeek or open-source LLMs.
• Proficiency with embeddings and semantic search use cases.Hands-on experience with vector databases like Pinecone, Weaviate, or Qdrant.Familiarity with LLMOps concepts and prompt engineering.
• Strong coding background in NodeJS (preferred) or Python.Comfortable working with REST APIs and building end-to-end pipelines.Experience deploying and monitoring AI systems in production.

Nice-to-Have

• Experience with LangChain/LlamaIndex/Haystack.Prior work with open-source models (Gemma, Mistral, Ollama, etc.).
• Exposure to CI/CD, Docker, and cloud platform (AWS).

Since launching in 2021, Bigtoe has been on a mission to revolutionize the wellness industry by making high-quality massage and yoga services more accessible than ever. We serve individuals, hotels, events, and companies with a tech-driven experience that empowers wellness professionals to focus on what they do best - delivering healing.

We've grown our provider network to over 8,000 licensed professionals, and in the past year alone, quadrupled our revenue. With operations spanning over 25 cities, we're now building intelligent systems to enhance our support, optimize operations, and improve client experience.

Description

We're looking for a part-time AI Consultant to lead the development and implementation of AI-powered solutions - starting with a support chatbot and evolving toward more advanced internal automation.

This is a hands-on consulting role: you'll not only guide architecture and tool choices, but also help us ship working systems.

Responsibilities

• Lead the strategy, architecture, and MVP implementation of a chatbot for provider support Escalates appropriately to human support
• Support expansion into client-facing AI (e.g., booking assistant, availability nudging)
• Propose and help implement AI-driven internal tools
• NLP interfaces for ops and support staff
• Collaborate directly with the founder and product/engineering team

Qualifications

• Proven experience with chatbot development (OpenAI, Anthropic, or open-source frameworks)
• Strong grasp of LangChain, RAG pipelines, vector embeddings, and prompt engineering
• Fluency in Python
• Ability to assess existing infrastructure and propose right-sized solutions
• Solid understanding of MySQL, REST APIs, and data workflows
• Excellent communication and consultative skills - we value initiative and clarity

Job Title: AI & Immersive Tech Specialist

Company: Trzy X - Events & Tech Co.

Location: Mumbai / Gurgaon (Hybrid)

Type: Full-time

About Trzy X

Welcome to Trzy X - where next-gen technology meets experiential storytelling. We're blending events, immersive installations, and cutting-edge AI to build India's most futuristic activations. From interactive holographic displays (Holobox) to AI-driven avatars, we're reimagining how people experience tech in public spaces.

We're now looking for a tech-savvy, creative problem solver to help us push the boundaries of what's possible with generative AI, real-time interactivity, and digital humans. If your idea of fun involves merging GPT with holograms, building responsive AI agents, or crafting public experiences that make people go "WOAH"-you might've just found your dream role.

What You'll Do

Develop, integrate, and prototype AI-powered interactive experiences for our Holobox platform (real-time, holographic interface used in events, malls, and live activations)

Build live digital avatars using ChatGPT and similar LLMs to act as conversational agents for real-world engagements

Develop ideas and possibilities of innovation that can be integrated with the holobox - we are looking for someone to bring innovative ideas to the table and have the technical skills to execute them

Work on real-time computer vision, voice recognition, and generative AI tools to create immersive storytelling

Collaborate closely with our 3D, CGI, and content teams to make ideas feel seamless and futuristic

Innovate, iterate, and challenge the status quo-your ideas will shape India's first AI-powered holographic interactions

Ensure stability, latency optimization, and responsive user experience in high-traffic public settings

Explore integrations with AR, XR, or spatial computing for expanded future use cases

Who You Are

Experienced in working with AI/ML APIs (OpenAI, Google Cloud, HuggingFace, etc.)

Hands-on with real-time systems, Node.js, Python, Unity/Unreal Engine, or WebXR

Comfortable working with 3D assets, spatial UI, or motion capture systems

Passionate about immersive tech, AI avatars, and building things that don't yet exist

Understands both technical performance and creative storytelling in interactive environments

Bonus if you've played around with tools like RunwayML, Replica Studios, D-ID, HeyGen, Voice AI, or similar platforms

Entrepreneurial mindset and excited to be part of something that's more "start-up chaos" than "corporate comfort zone"

What's in it for You

Be part of building India's first AI + Hologram + Event-tech company

Work on headline-grabbing tech that blends creativity and code

Endless room for experimentation, innovation, and weird-but-awesome ideas

Collaborate with a cutting-edge team of creatives, technologists, and futurists

Flexible, high-energy work environment where innovation is the job

Role Summary

We are seeking a full-time AI Engineer to lead the development of a smart application that reads Bills of Quantities (BoQs) and automatically proposes unit prices for each line item using OpenAI GPT models and internal pricing data.

• You will work at the intersection of natural language processing, construction data interpretation, and AI automation, creating tools that will shape the future of project estimation.

Key Responsibilities

• Design and build a software application that reads and interprets BoQ documents (PDF, Excel, structured formats)
• Integrate with OpenAI (ChatGPT API) to analyze BoQ line items and suggest unit prices
• Fine-tune prompt engineering for accurate, context-aware pricing outputs
• Connect the system to internal historical databases or market references
• Develop interfaces for estimators, project managers, and procurement teams to interact with AI-generated results
• Ensure outputs are transparent, auditable, and adjustable
• Continuously improve model performance through user feedback and active learning

Qualifications

• Strong programming skills in Python and experience working with APIs (especially OpenAI)
• Experience with document parsing tools (e.g., PDF parsers, OCR, NLP libraries)
• Background in machine learning or AI application development
• Familiarity with construction data, unit pricing, or quantity surveying (bonus)
• Ability to bridge AI and practical use cases in a multidisciplinary environment
• Strong problem-solving skills and a passion for applied AI
• Bachelor's or Master's in Computer Science, AI, Data Science, or related fields

Bonus Skills

• Experience with LangChain, vector databases (e.g., Pinecone, Weaviate), or fine-tuning LLMs
• Knowledge of construction standards (e.g., CESMM, NRM, SMM7)
• Prior work in cost estimation or construction tech

What We Offer

• Opportunity to work on a real-world AI application with immediate impact
• Work inside a leading construction firm actively investing in digital innovation
• Competitive salary and benefits
• Collaborative and supportive environment

Gen AI Engineer - GenAI / ML (Python, Langchain)

Full Time - Hybrid

Location: Chennai / Pune / Bangalore / Noida / Gurgaon

Overall Experience: 5-8 Years

Focus:

Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.

Key Responsibilities:

• Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.
• Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.
• Translate business needs into scalable, production-ready AI solutions.
• Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.
• Contribute to architecture discussions, code reviews, and performance optimization.

Skills Required:

• Proficient in Python, Langchain, and SQL.
• Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.
• Background in machine learning or software engineering with a focus on system-level thinking.
• Experience working with cloud platforms like AWS, Azure, or GCP.
• Ability to work independently while collaborating effectively across teams.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• 1+ years of hands-on experience in LLMs and Generative AI techniques.
• Experience contributing to ML/AI product pipelines or end-to-end deployments.
• Familiarity with MLOps and scalable deployment patterns for AI models.
• Prior exposure to client-facing projects or cross-functional AI teams.

Company Description

Unlox Academy is a revolutionary education platform that redefines learning by focusing on the student experience. It aims to make education accessible, engaging, and life-changing, with the core belief that "Learning Must Be Easy." Unlox Academy delivers world-class education from genuine experts, offering AI-based learning with perks like one-on-one AI mentors and interactive learning experiences.

Role Description

This is a remote internship role as an Artificial Intelligence Intern located in Bengaluru. The intern will be responsible for tasks related to data science, machine learning, programming, and analytical skills, supporting various AI projects at Unlox Academy.

Qualifications

• Computer Science and Programming skills
• Analytical Skills and Data Science knowledge
• Experience or knowledge in Machine Learning
• Strong problem-solving abilities
• Ability to work collaboratively in a team environment
• Currently pursuing or recently completed a degree in Computer Science, Data Science, or related field

Stipend- 20000/- for 4 months post which employment would be offered from 5-8 lpa (hybrid role)

WHY THIS ROLE MATTERS

Agentic platforms are the third wave of AI adoption, letting organisations delegate complex multi step work to autonomous LLM powered "knowledge robots." Winning teams pair Retrieval Augmented Generation (RAG) with low latency inference to deliver factual answers at scale. You will own that stack-research, optimisation, and production deployment-so we ship features that feel like magic to end users.

POSITION OVERVIEW

• Own the agentic & RAG roadmap - design, prototype, and launch LLM agents (planner-executor, multi agent, tool calling) that hit sub second P95 latency in production.
• Invent & productionise RAG pipelines - embedding strategy, vector DB design (Weaviate, Pinecone), hybrid search, evaluations, guard rails.
• Fine tune frontier models with PEFT/LoRA, RLHF, safety alignment; publish research that moves the needle.
• Optimise inference - quantisation (INT4/8), speculative decoding, TensorRT LLM/vLLM or Ray Serve to cut cost per token by 40 %.
• Lead & mentor a small, high agency team; codify MLOps, CI/CD, observability, and data governance best practices.
• Partner with product & design to turn research into delightful user features that 10 customer ROI.

CORE QUALIFICATIONS

1. EXPERIENCE - 5+ years in software/ML, including 2+ years shipping LLM/NLP products at scale.
2. DEEP LEARNING STACK - Expert in Python and PyTorch (TensorFlow / JAX welcome); CUDA or Triton kernels a plus.
3. AGENTIC & RAG FRAMEWORKS - Hands on with LangChain, LlamaIndex, CrewAI; vector DBs - Weaviate, Pinecone, Qdrant.
4. MODEL OPTIMISATION - Quantisation, distillation, AWS Neuron or GPU kernel tuning.
5. CLOUD & MLOPS - Kubernetes, Ray, SageMaker or GCP Vertex; Terraform/Pulumi IaC; structured observability.
6. COMMUNICATION & LEADERSHIP - Writes crisp design docs and guides cross functional teams.

BONUS SKILLS

• Multimodal agent systems (vision language, audio language).

• Privacy preserving ML (federated learning, differential privacy).

• OSS contributions to LangChain, Weaviate, Pinecone, Triton, vLLM.

SUCCESS METRICS (FIRST 6 MONTHS)

1. Ship v1 RAG pipeline with
2. Cut inference cost per 1 k tokens by 40 %.
3. Publish a white paper/blog on agent orchestration improving tool reliability by 25 %.
4. Build & mentor a team of 3-5 engineers; institute automated eval harnesses and CI/CD for model releases.

TECH STACK YOU'LL OWN

Python PyTorch JAX Ray Serve Kubernetes LangChain/LlamaIndex Weaviate/Pinecone vLLM/TensorRT LLM AWS Bedrock/SageMaker PG vector Prometheus + Grafana

COMPENSATION & BENEFITS

• Base: 30-40 LPA (India)

• Remote first flexibility, quarterly on sites.

HIRING PROCESS

1. Intro chat - vision & culture fit.
2. Deep dive - solve an open ended agent/RAG problem in our codebase.
3. Research case - present past optimisation work or a roadmap proposal.
4. Values & leadership interview with founders.
5. Offer - we aim to close within 2 weeks.

Ready to build the future of Agentic AI? Email with:

• A resume / LinkedIn URL.

• One or two flagship projects that prove you operate in the top 3 % of AI/ML engineers (1 sentence highlight for each).

• GitHub or demo links if the work is open source.

Gen AI - Artificial Intelligence Specialist

Work Location: Hyderabad - Work from Office(Must)

Willing to Join - ASAP

Responsibilities -

• Drive customer conversations for Gen AI opportunities
• Understand customer specific requirements and create customer acceptable Gen AI solution architectures
• Create customer proposals and RFP responses
• Guide solution engineers in creating Gen AI POC and solutions for industry verticals
• Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency
• Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications

Qualifications -

• Experience in software development: 5+ years
• Experience in Generative AI solution development: 2 years
• Bachelor's degree or above in Computer Science, Software Engineering or similar disciplines
• Experience in two industry domains and ability to learn new domains quickly
• Adept at critical thinking and logical reasoning for problem-solving
• Be good at teamwork and delivering under pressure
• Generative AI oriented
• Experience with at least one cloud technologies: Azure, AWS, GCP
• Good understanding of NVIDIA or other similar technologies
• Understanding of useful design principles and patterns
• Solid appreciation of AI/ML concepts

Required Skills -

• Extremely dynamic and enthusiastic about technology
• Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js
• Be able to adapt quickly to new challenges and an evolving technology stack
• Excellent written and verbal communication skills. Fluent English is essential
• Strong analytical and critical thinking skills
• Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal)
• Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly
• Firsthand of Python, ML Algorithms and Statistics
• Knowledge of source code maintenance and versioning tools
• Strong in Object Oriented Programming Concepts
• Good in debugging and analytical skills

Preferred Skills -

• 5+ years of experience in ML development and MLOps
• Strong programming skills, with ability in languages like Python with a good knowledge of ML, Data and API libraries
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with ML model and its development
• Should have knowledge in ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Ai
• Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2o etc.
• Experience working in a cloud environment ( AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
• Interest in understanding functional and industry business challenges
• Desirable to have knowledge of Insurance Industry and potential GenAI use case in insurance processes
• Ideally, you'll also have Expertise in Big Data, Data Modelling

AI Software Engineer

Job Summary: We are seeking a highly skilled and innovative AI Solutions Specialist to design, develop, and deploy AI-driven solutions that address complex business problems. The ideal candidate will work closely with cross-functional teams to understand business requirements, evaluate AI technologies, and implement end-to-end intelligent systems using machine learning, deep learning, and other AI techniques.

Key Responsibilities:

• Lead the evolution of the Data Engineering, Machine Learning and AI capabilities through the solution lifecycle
• Collaborate with project teams, data science teams and other development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.
• Collaborate with stakeholders to identify opportunities for AI and ML applications.
• Design scalable AI solutions that integrate with existing infrastructure and processes.
• Develop, train, and optimize machine learning models and AI algorithms.
• Evaluate third-party AI tools and APIs for integration where applicable.
• Create technical specifications, architecture documents, and proof-of-concept prototypes.
• Work with data engineering teams to ensure data quality, accessibility, and readiness.
• Monitor performance of AI models in production and iterate for improvement.
• Ensure ethical and responsible AI practices, including explainability, bias mitigation, and privacy.
• Present solutions and progress to technical and non-technical stakeholders.
• Stay updated with AI research and industry trends to propose innovative solutions.
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Proficiency in Python and experience with AI development libraries and tools.
• Understanding of cloud AI/ML services (e.g., AWS SageMaker, Azure ML, Google Vertex AI AWS, Databricks, Snowflake, Python, Pyspark, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK, Hadoop, Spark, Kafka, Elastic Search, SQL, NoSQL databases, Postgres, Cassandra, Salesforce).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving, communication, and stakeholder management skills.
• Experience with generative AI (e.g., GPT, diffusion models) or LLMs.
• Familiarity with MLOps practices and deployment pipelines (Docker, CI/CD, MLflow).
• Background in natural language processing (NLP), computer vision, or reinforcement learning.
• Publications, patents, or open-source contributions in AI/ML are a plus.
• Deep understanding of Junos OS architecture, features, and operational nuances.

Experience:

• Minimum 6-8 years in data and analytics with expertise across AI, ML, data platforms, BI tools, and data engineering
• Experience with leading and architecting and building infrastructure to manage the Data/AI model lifecycle
• Deep understanding of technology trends, architectures and integrations related to Generative AI
• Hands-on experience with advanced analytics, predictive modelling, NLP, information retrieval, deep learning etc

Communication Skills:

• Excellent verbal and written communication skills, with the ability to explain technical concepts clearly and concisely.

Job Scope:

Lead the research, design, and development of advanced AI and ML models powering a cutting 1 edge AI-driven no-code development platform and a scalable AI inference and training orchestration system. Responsible for building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features aligned with business goals.

Job Responsibilities:

• Design and implement state-of-the-art machine learning and deep learning models for NLP, computer vision, and generative AI relevant to no-code AI coding and AI orchestration platforms.

• Develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models.

• Architect and manage end-to-end machine learning pipelines: data processing, training, evaluation, deployment, and continuous monitoring.

• Collaborate closely with software engineering teams to productionize models ensuring reliability, scalability, and performance.

• Research and integrate cutting-edge AI techniques and algorithms to maintain product competitiveness.

• Lead AI research efforts contributing to intellectual property generation, patents, and academic publications.

• Provide technical leadership and mentorship to junior AI/ML team members.

• Collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features.

• Maintain up-to-date knowledge of AI research trends and technologies, assessing their applicability.

• Ensure compliance with data privacy and security standards in AI model development.

Good to have skills:

• Experience with AI-driven no-code platforms or automated code generation.

• Familiarity with AI workflow orchestration frameworks like LangChain, Crew AI, or similar.

• Knowledge of probabilistic modeling and uncertainty quantification.

• Hands-on experience with MLOps tools and practices including CI/CD, model versioning, and monitoring.

• Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).

• Contributions to open-source AI projects or patent filings.

• Understanding of AI ethics, data privacy (GDPR, SOC2) compliance.

• Strong academic research background with publications in top-tier AI/ML conferences.

Qualification and Experience:

• PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning.

• Strong research publication record in reputed AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ACL).

• Demonstrated experience in developing and deploying deep learning models including transformers, CNNs, RNNs, GNNs, and generative AI models.

• Proven skills in NLP and/or computer vision.

• Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, JAX.

• Experience building scalable ML pipelines and applying MLOps best practices.

• Knowledge of distributed training, GPU acceleration, and cloud infrastructure is highly desirable.

• Excellent problem-solving, analytical, and communication skills.

• Experience mentoring or leading junior AI researchers/engineers is a plus.

• Prior exposure to AI-driven no-code platforms, AI orchestration frameworks, or automated code generation technologies is beneficial.

Job Title: AI Developer

Working Hours: 10 AM - 4 PM UTC+3)

About Us:

Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.

About the Role:

We are seeking a highly skilled AI Developer to join our specialized team focused on developing and benchmarking on-device AI solutions for MacOS and Windows platforms. The ideal candidate will have deep technical expertise in local inference, AI model optimization, and device-level benchmarking, particularly on Apple Silicon using CoreML and MLX.

You will work on creating benchmarks for local LLMs and computer vision models, optimize them across a range of hardware accelerators, and contribute to the development of robust performance evaluation frameworks for future hardware platforms.

Responsibilities:

• Develop and maintain on-device AI benchmarks for MacOS using the MLX framework.
• Port existing LLM benchmarks (phi, Mistral, LLaMA2/3) from Windows to MacOS.
• Create CoreML versions of selected computer vision models and perform quantization for various data types and hardware targets (CPU, GPU, Neural Engine).
• Design and prototype local fine-tuning benchmarks, including data preparation, parameter selection, and training strategy evaluation.
• Work with on-device AI accelerators (e.g., Apple CoreML, ONNX Runtime, TensorRT, OpenVINO, SNPE).
• Maintain, extend, and optimize benchmarks for future and unreleased hardware platforms across Windows, Mac, mobile, and embedded devices.
• Collaborate with hardware and software teams to refine benchmark design and test coverage.
• Analyze model performance, document findings, and suggest optimization strategies.
• Communicate progress and findings effectively in English to internal stakeholders.

Required Skills & Experience:

• Strong coding expertise in Python, C++, and C.
• Deep understanding of deep learning frameworks: TensorFlow, PyTorch.
• Experience working with local/on-device inference engines such as:
• Apple CoreML (preferred)
• ONNX Runtime
• NVIDIA TensorRT
• Intel OpenVINO
• Qualcomm SNPE
• Familiarity with open-source model repositories like Hugging Face.
• Proven experience in all stages of the software development lifecycle - from prototyping to optimization.
• Solid debugging and problem-solving skills.
• Excellent communication skills in English.

Qualifications:

• Bachelor's degree in computer science or related field.
• Minimum of 5 years' experience in software design and development.
• Demonstrated experience in AI model development and deployment.

We Offer:

• Opportunity to work on impact-full technical challenges with global reach.

• Vast opportunities for self-development, including online university access and knowledge sharing opportunities.
• Sponsored Tech Talks & Hackathons to foster innovation and learning.

• Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
• Supportive work environment with forums to explore passions-beyond work.

This role presents unique opportunity to contribute to the future of impact-full business solutions while advancing your career in a collaborative and innovative environment.

1. Design, develop, and deploy NLP systems using advanced LLM architectures (e.g., GPT, BERT, LLaMA, Mistral) tailored for real-world applications such as chatbots, document summarization, Q&A systems, and more.
2. Implement and optimize RAG pipelines, combining LLMs with vector search engines (e.g., FAISS, Weaviate, Pinecone) to create context-aware, knowledge-grounded responses.
3. Integrate external knowledge sources, including databases, APIs, and document repositories, to enrich language models with real-time or domain-specific information.
4. Fine-tune and evaluate pre-trained LLMs, leveraging techniques like prompt engineering, LoRA, PEFT, and transfer learning to customize model behavior.
5. Collaborate with data engineers and MLOps teams to ensure scalable deployment and monitoring of AI services in cloud environments (e.g., AWS, GCP, Azure).
6. Build robust APIs and backend services to serve NLP/RAG models efficiently and securely.
7. Conduct rigorous performance evaluation and model validation, including accuracy, latency, bias/fairness, and explainability (XAI).
8. Stay current with advancements in AI research, particularly in generative AI, retrieval systems, prompt tuning, and hybrid modeling strategies.
9. Participate in code reviews, documentation, and cross-functional team planning to ensure clean and maintainable code.

Role Summary

You will drive the end to end delivery of our agentic platform: from prototyping and fine tuning AI agents to productionizing services with scalable, cloud native architectures. You'll integrate AI powered IDE tools (Cursor, Windsurf, GitHub Copilot, Tabnine) and low code/no code AI toolkits (Azure Copilot Studio, Auto gen, Semantic Kernel) into our workflows, partner with AI research teams, and own the CI/CD, MLOps, and observability that keep our systems running.

Key Responsibilities

• Agent Development & AI Toolchain
• Architect and iterate on multi step, context aware generative AI agents capable of autonomous task execution.
• Use Cursor, Windsurf, GitHub Copilot, Tabnine for accelerated coding, prompt refinement, and test generation.
• Integrate retrieval augmented reasoning via Lang Chain, Hugging Face Transformers, FAISS, Pinecone, and open source frameworks.
• Azure AI & OpenAI Integration
• Build and deploy agents in Azure Copilot Studio, orchestrating chains with Autogen and Semantic Kernel for conversation and workflow management.
• Leverage Azure Functions, Azure Durable Functions, Azure AI Foundry, and Azure Cognitive Search for serverless compute and semantic retrieval.
• Utilize OpenAI, Anthropic, and Azure OpenAI Service SDKs for prompt orchestration and model hosting.
• ML Ops & CI/CD
• Design automated pipelines (GitHub Actions, Azure DevOps, AWS Code Pipeline) for model packaging, container builds, and canary/blue green deployments on Kubernetes (AKS/EKS) or serverless.
• Employ infrastructure-as-code (Terraform, AWS CDK, Bicep) to provision secure, cost optimized environments across AWS and Azure.
• Cloud Native Engineering
• Implement microservices and serverless patterns with AWS Lambda, Step Functions, API Gateway, Azure Functions, and Logic Apps via SDKs (boto3, azure-sdk-for-python).
• Optimize systems with auto scaling, spot instances, and caching (Redis, Cosmos DB) to maximize performance and cost-efficiency.
• Collaboration & Research Translation
• Partner with AI research teams to translate cutting edge papers into production code, defining retrieval strategies, context model protocols, and tool schemas.
• Mentor peers on best practices for prompt engineering, agent orchestration, and AI driven development workflows.
• Reliability & Observability
• Instrument applications with CloudWatch, Grafana, Datadog, Azure Monitor, and Application Insights.
• Implement robust error handling, distributed tracing (AWS X Ray, Azure Monitor), and security best practices (IAM, RBAC, Key Vault).

Required Qualifications

• 5+ years of software engineering experience, including 2+ years building AI/ML powered or agentic systems.
• Expert in Python and cloud platforms (AWS &Azure).
• Hands on experience with AI frameworks: LangChain, Hugging Face, OpenAI/Anthropic, Autogen, Semantic Kernel.
• Proven track record in designing and scaling distributed microservices, serverless functions, and CI/CD workflows.
• Familiarity with AI augmented developer tools (Cursor, Windsurf, GitHub Copilot, Tabnine).

Preferred Qualifications

• Experience with autonomous agent frameworks (AutoGPT, CrewAI, LangGraph).
• Knowledge of vector databases (Pinecone, Weaviate) and Retrieval Augmented Generation patterns.
• Contributions to open source AI/agentic projects.
• Advanced degree in Computer Science, AI, Machine Learning, or related field.

What We Offer

• Competitive salary and equity package (stock options)
• Friendly environment with flexible hours
• Cutting edge AI research and production challenges
• Collaborative culture that values innovation and continuous learning
• Professional development stipend and mentorship opportunities

Who we are

We are software artisans passionate about what we do: help companies build awesome solutions. With an agile process that is built on top of the best engineering practices.

Our team is comprised of full-stack developers and architects, who are versed in the very latest technologies and love what they do!

We believe transparent, honest and fluent communication, both remotely and on-site is a key factor to the success of any project.

What are we looking for?

Our ideal candidate is a seasoned Software Engineer oriented to Machine Learning and Artificial Intelligence ecosystem (Python, AI Agent, MLOps, RAG, NumPy, Pandas), someone who also has wide experience in enterprise infrastructure, On-Premise and Cloud, and working in agile teams leveraging the tools that enable success such as CI/CD pipelines and following best practices.

Responsibilities

• Own the development of new customer-facing AI solutions and product experiences
• Develop and use modern software engineering practices to deploy ML solutions at scale, including building CI/CD pipelines and automated testing
• Work together with a team of professional engineers with the objective of automating processes, deploying and building infrastructure as code and managing the architecture of multicloud systems.
• To Participate in agile ceremonies, weekly demos and such.
• To Communicate your daily commitments.

Qualifications

• 3+ years of relevant work experience.
• Experience with building and maintaining infrastructure for model performance evaluation, including data collection, preprocessing, and analysis
• Strong understanding of machine learning concepts and algorithms, and experience with developing and deploying machine learning models in production
• Solid understanding of DevOps CI CD and monitoring.
• Experience with Agile ceremonies.
• Passionate about good engineering practices and testing.
• Ability to organize, prioritize and communicate daily/weekly goals.
• You like to learn, are curious, humble and like to get things done.
• Passion for working in a customer facing setting.

Required Skills

• Proficient with Python.
• Proficient with AI Agent (such as: LangGraph or LangChain)
• Competent with MLOps
• Proficient with RAG (Retrieval-Augmented Generation)
• Proficient with GIT.

Nice to have

• Proficient with Databricks.
• Proficient with NumPy, Pandas, SciKit Learn
• Proficient with NLP (NET)
• Proficient with GenAI familiarity
• Proficient with Cohor analysis

Our solutions support enterprise information management, business intelligence, machine learning and data science. You should excel in working remotely and have outstanding communication skills (Transparency is one of our core values).

About the Company

Implement Architecture and design from definition phase to go-live phase.

About the Role

Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams' efforts where required.

Responsibilities

• Implement Architecture and design from definition phase to go-live phase.
• Work with the business analyst and SMEs to understand the current landscape priorities.
• Define conceptual and low-level model of using AI technology.
• Review design to make sure design is aligned with Architecture.
• Handson development of AI lead solution.
• Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc.
• Integrate with multiple system using API or Web Services or data exchange mechanism.
• Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications.
• Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management.
• Owning research assignments and development.
• Leading, developing and assisting developers & other team members.
• Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project.
• Define and deliver against the solution benefits statement.
• Positively and constructively engage with clients and operations teams' efforts where required.

Qualifications

A Bachelor's degree in Computer Science, Software Engineering, or a related field

Required Skills

• Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills
• 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW
• Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure
• Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc.
• Proficient in programming languages like Python (Full Stack exposure)
• Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs
• Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store
• Experience in implementing and deploying applications on Azure
• Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification
• Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git
• Experience with different development methodologies (RUP Scrum XP)

Preferred Skills

None specified

Pay range and compensation package

None specified

Equal Opportunity Statement

Include a statement on commitment to diversity and inclusivity.

Company Description

Zeron is a leading cyber risk posture management platform that empowers organizations to proactively manage and mitigate their cybersecurity risks. By providing deep visibility into an organization's risk posture, Zeron allows businesses to take preventative measures against cyber threats. Offering advanced analytics and automation capabilities, Zeron delivers real-time insights and recommendations, helping businesses stay ahead of emerging threats while easily automating their cyber regulatory mandates. Zeron is the ultimate cybersecurity partner for businesses of all sizes, ensuring they achieve high-security levels while remaining compliant with industry regulations.

As an AI Engineer at Zeron.one, you will be instrumental in developing and deploying AI/ML models that enhance the platform's capabilities in cyber risk quantification and management. Your work will directly impact how organizations perceive and mitigate cyber threats.

• Design, develop, and deploy machine learning models, including Large Language Models (LLMs), to enhance Zeron's cyber risk posture management platform.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Stay updated with the latest advancements in AI and cybersecurity to inform model development.
• Ensure the scalability and efficiency of AI models in production environments.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven 3+ years of experience in developing and deploying machine learning models, preferably in the cybersecurity domain.
• Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Strong understanding of cybersecurity principles and risk management.

• Experience with LLMs and NLP techniques.
• Familiarity with cloud platforms and MLOps practices.
• Knowledge of regulatory compliance standards in cybersecurity.

Company Description

Are you a recent Computer Science (this is mandatory) graduate?

Would you like to work in a Silicon Valley-style fast-charging startup?

Are you ready for long hours in a fast-paced very technical environment (we are all pure hands-on software engineers - no managers, etc., no fluff!)

We are a small, sharp team (ex-Google, ex-Deloitte, ex-EY) focused on cutting-edge AI patterns and techniques to drive tremendous value in Global Trade & Indirect Taxes.

Our upcoming products are getting excellent customer interest!

Our Bangalore (Hebbal) offices are in a fantastic location in an awesome skyscraper with a skydeck

NOTE: If your LinkedIn location is NOT Bangalore, your application will be rejected

Role Description

This is a full-time on-site (no WFH/Hybrid) role for an Artificial Intelligence Engineer located in north Bangalore. The AI Engineer will be responsible for tasks such as pattern recognition, neural networks, software development, and natural language processing (NLP).

This role is NOT suitable for Front End engineers (React, etc)

Qualifications

• Only Bachelors in Computer Science or Bachelors in Computer Science and Engineering - graduated in 2021 or more recently.

We DO NOT accept Bachelors/Masters in Computer Applications, EEE, or any other engineering degree, so please DO NOT apply

• Pattern Recognition and Neural Networks skills
• Computer Science and Software Development skills
• Core Python or Go(lang)
• Natural Language Processing (NLP) skills
• Strong analytical and problem-solving abilities
• Experience in developing AI applications
• Preferred: Research-oriented mindset with ability to execute
• Preferred: Master's degree in Computer Science, Artificial Intelligence, or related field

Gen AI Specialist

About Lumen Technologies

Lumen Technologies is a global technology company that delivers innovative communication and network solutions. Our mission is to empower businesses and individuals to connect, grow, and thrive in the digital age. With a focus on customer experience and operational excellence, we strive to provide cutting-edge solutions that meet the evolving needs of our customers.

Job Description

Work Location : Bangalore

Work timings are usually between 12.30 pm to 9.30 pm

Work mode : Hybrid

The Main Responsibilities

• Development of Gen AI applications and conduct reviews.
• Write clean and maintainable code, improve the system architecture
• Participate in meetings and conferences to gather requirements, discuss architectural decisions, and collaborate on innovative solutions.
• Develop frameworks, libraries, and tools to expedite GenAI application development.
• Explore new technologies in the Gen AI space like MCP and agent protocols, and drive adoption of these advancements to enhance our AI capabilities.

Required Qualifications:

• Bachelor's degree in computer science or related field or the equivalent in training and experience
• 7+ years of professional experience in Java/Python development
• Well-versed with development using frameworks like Spring / Spring Boot / FastAPI / Django.
• Well-versed with REST API development and security standards (OAuth2.0, OIDC etc),
• Experience using any SQL database (Oracle/PostgreSQL, etc.) and any NoSQL databases -MongoDB/Couchbase.
• Experience on GenAI Development using Python, Langchain, Vector Datastores(Azure, Pinceone etc.), Large language models like Llama, Open AI etc.
• Well-versed with prompt engineering techniques and using frameworks like Semantic Kernel, LangGraph etc.
• Experience using a container ecosystem - Kubernetes, Docker.
• Experience working on developing and deploying applications on any cloud platform (AWS / GCP / Azure)
• Experience using CI/CD pipelines for application development.

We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately.

Our client is a gaming tech company building for the next generation. Our consumer gaming platform already serves 500,000+ Gen Z users and is growing. Now we're re-imaginging game creation from the ground up-AI-first. Speak to any game developer and they'll be dying to tell you how they would love to focus more on creative aspects of a game, rather than the messy creation pipeline -long hours, redundant tasks, fragmented tools and painful troubleshooting.

Our vision:

The Studio AI-a unified intelligence product that makes game development 10x faster and accessible to everyone.

About the Role:

As an AI Engineer, you'll lead our efforts to build grounds-up AI native interactions and features of The Studio AI. You'll work directly with leadership to solve problems no one else is tackling in the industry. Your code, your systems, and your efforts will become the foundation that thousands of game creators build upon.

This role sits at the intersection of cutting-edge AI and practical game development needs. You won't just be implementing features-you'll be defining what's possible in AI-native game creation and building the systems that make it real. This isn't just another engineering role-this is a chance to architect the future of how games are built.

What You'll Do:

You'll create a product that acts as the orchestration layer between Unity(the world's leading game engine), creator tools, and assets to solve the messy "art-to-game" bottleneck that slows down every studio.

This will require you to: Move at research speed in production: Implement a paper the day after it drops. Test a new model the hour it's released. We don't wait for stable APIs-we create them. Novel application of latest models/agents in another industry, discuss the application in ours.

Build actual agents: Tool use, memory, retry logic, context updates, feedback mechanisms. Not a demo. AI co-workers that ship game code and assets.

Run high-velocity experiments: Apply bleeding-edge AI to solve game pipeline inefficiencies. Fail fast, iterate faster.

Ship and own GenAI features end-to-end: From POC to production. Your experiments become features that thousands of creators will use daily.

Collaborate with our engine team to deploy: You'll need to learn how our engine works to enable seamless integration your successful experiments into the product And of course, you will run evals, clean, prune, and collect datasets to analyze model performance, hallucination rates, recall, etc.

What We Are Looking For: Qualifications

• 2+ years of experience building AI applications, ideally with production exposure
• Strong knowledge of GenAI methods including Retrieval-Augmented Generation (RAG), Vision LLMs, context protocols like MCPs, and agentic frameworks like LangGraph, CrewAI, or AutoGen
• Proven track record of quickly iterating on AI experiments and adapting to new findings and challenges
• Ability to navigate and find solutions in technically ambiguous situations
• Demonstrated ability to rapidly learn and apply state-of-the-art AI techniques
• Good software development skills and ability to build robust systems
• Strong problem-solving skills and ability to think in systems, state machines, and event flows
• Ability to communicate technical concepts clearly to both technical and non-technical team members
• High aptitude and passion for AI-side projects, competitions, or strong quantitative background are valued
• Experience from gaming industry or genuine passion for gaming preferred
• Technologies

Must have:

Python, working with LLM APIs (OpenAI, Anthropic, etc.), basic web development (REST APIs, HTTP)

Should know (but learnable): RAG, agentic frameworks (LangGraph, CrewAI, etc.), MCP, prompt engineering, vector databases

Nice to have: Node.js (huge advantage), FastAPI/Flask, Unity experience, cloud platforms (AWS/GCP), Docker We work at the application layer, not the transformer layer - while it is okay to not know how models work internally, you must know how to use them. We'll help you onboard on our Unity engine integration.

This is for you IF

• You've built and owned complex systems from 0 to 1-not just features but foundations
• You think in systems, state machines, and event flows-not just endpoints.
• You default to velocity. Move fast and fail faster.
• You hold an incredibly high bar for yourself and expect it from others.
• You want direct impact, technical depth, and to solve problems that have never been solved before.
• You thrive in finding creative solutions to ambiguous problem statements, rather than wanting to "stay in your lane".
• You're not indexing on work-life balance; You prefer an environment of like minded, ultra-committed, live-and-breath AI people.

️ This is NOT for you IF

• You want a remote / hybrid role
• You need extensive structure, mentorship programs, or a predefined career ladder.
• You prefer working on a single, well-defined component.
• You view LLMs as just another API call.
• You're uncomfortable with ambiguity or rapid iteration.
• You can't handle direct, honest feedback or thrive in a high-candor environment.

Interview Process:

• Aptitude Test (30 minutes)
• Technical Interview 1 (90 minutes)
• Technical Interview 2 (60 minutes)
• Final Interview (30 minutes)

What We Offer:

• Opportunity to work on cutting edge products
• Working with a highly skilled, motivated and passionate group of people
• Competitive compensation
• Lunch on us, a fully stocked pantry, team events, and more

We are looking for a high-energy tech-savvy individual for the role of Senior AI Engineer- GenAI at Eucloid. The candidate will solve complex problems, picking up new technologies and working at the cutting edge of innovation.

The candidate is expected to lead following work-streams:

• Develop and optimize Python applications for AI-driven products

• Build and integrate LLM-based applications with structured and unstructured data

• Work with large datasets, AI pipelines, and model inference APIs

• Collaborate with AI researchers and engineers to translate ideas into production-ready solutions

• Stay ahead of emerging AI technologies and contribute to continuous innovation

Ideal candidate will have following Background and Skills:

Background:

• Undergraduate Degree in any quantitative discipline such as engineering, science or economics from a Top-Tier institution.

• 5+ years of experience in Python-based product development

• Strong foundation in data structures, algorithms, and system design

• Proven problem-solving ability - you love tackling complex technical challenges

• Hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure)

• Experience in AI, ML, or NLP is a bonus, but a strong aptitude to learn AI frameworks quickly is what matters most

• Exposure to LangChain, OpenAI APIs, or vector databases (advantageous, but not mandatory)

The role offers a very attractive compensation (Base + Bonus) and is based out of Chennai. Please reach out to if you want to apply.

About Pinnacle

Pinnacle Group is a premier staffing and workforce solutions provider, delivering innovative services to clients worldwide. Leveraging an enterprise-scale Salesforce implementation, we optimize staffing processes to drive efficiency and client success, empowering our team to shape the future of talent management.

Summary

Join Pinnacle Group to design and build custom voice AI agents in our post-implementation Sales Cloud environment. As a Salesforce Voice AI Developer, you will configure voice prompting, develop digital agent processes, and integrate APIs with Salesforce data to enhance staffing automation (e.g., candidate outreach, supplier communication), collaborating with stakeholders and a third-party integrator to deliver scalable solutions.

Responsibilities

• Design and configure custom voice AI agents using voice AI platforms (e.g., Vapi, PolyAI, Synthflow AI, Retell AI, Bland AI, Deepgram) for staffing tasks (e.g., candidate screening, supplier updates).
• Develop digital agent processes with voice prompting and actions to ensure seamless staffing workflows.
• Integrate voice AI platforms with Salesforce Sales Cloud and Data Cloud via APIs (e.g., REST/SOAP) for data-driven automation.
• Implement automations using Salesforce Flow and Apex to enhance voice agent functionality and staffing processes.
• Optimize voice AI agents for multilingual support and user experience (e.g., accent recognition).
• Collaborate with stakeholders to gather requirements and propose voice AI solutions for staffing efficiency.
• Partner with a third-party integrator to validate configurations, troubleshoot issues, and deploy solutions.
• Document voice agent configurations, API integrations, and customizations for maintainability.

Requirements

• 3+ years of experience in Salesforce development (Apex, LWC, Visualforce) and API integrations.
• 1+ years of experience with voice AI platforms (e.g., Vapi, PolyAI, Synthflow AI, Retell AI, Bland AI, Deepgram), including voice prompting.
• Proficiency in Salesforce Flow and advanced Apex for custom automations and integrations.
• Familiarity with Sales Cloud and Data Cloud for data-driven voice agent solutions.
• Experience with Agent force or similar AI agent platforms preferred.
• Salesforce Certified Platform Developer I required; Platform Developer II or Data Cloud Consultant preferred.
• Strong problem-solving and stakeholder collaboration skills for remote work.
• Bachelor's degree in Computer Science, IT, or related field (or equivalent experience).

Vivaran Creations is a leading startup incubator founded with a mission to empower entrepreneurs and businesses. Led by CEO Damodari Balaji, Vivaran Creations specializes in providing technical assistance, executive management support, and strategic guidance to transform ideas into successful ventures. We're a young and passionate team focused on transforming ideas into scalable digital products.

Role Overview:

We are offering a hybrid, monthly paid internship for enthusiastic and skilled individuals passionate about artificial intelligence and machine learning. You'll work on real-time projects involving data, AI models, and smart applications, contributing to practical innovations for business clients.

Key Responsibilities:

• Assist in the development and deployment of AI/ML models.
• Collect, clean, and process datasets for analysis.
• Apply statistical methods and ML algorithms to solve business problems.
• Participate in model evaluation, fine-tuning, and performance optimization.
• Stay updated with current research and trends in AI/ML.
• Collaborate in hybrid mode: remote development and on-site team reviews/sync-ups.

Requirements:

• Pursuing/completed degree in Computer Science, AI, Data Science, or related fields.
• Solid foundation in Python and libraries such as Pandas, NumPy, scikit-learn.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work in a hybrid team environment.

What You'll Get:

• Monthly stipend.
• Real-world AI/ML project exposure.
• Mentorship from experienced professionals.
• Certificate and letter of recommendation.

Note -

Candidate should be an Immediate joiner or within 30 days.

This is a Hybrid position in Bangalore (Only Local candidates will be considered for this role or some who can relocate in a day or two)

Details required: (Share your resume to with below details for faster response)

Total Years of experience -

Notice period -

CTC -

Expected CTC -

Current Location -

Job Description:

Responsibilities:

• GenAI, AI/ML, 3+ years experience.
• AI/ML - Agentic AI, GEN AI,Python, PyTorch, Java, LangChain, LLMs, Prompt Engineering, Retrieval Augmented Generation, Vector Databases
• Build agentic AI workflows, Generative AI APIs (Open AI, Anthropic), Model Context Protocol.
• Candidate should be well versed with LLMs, various AI Models (OpenAI, Anthropic) integration, Agentic AI technologies. Proficiency in programming languages such as Python, and Java.

What we offer:

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance
• Corporate social events
• Professional development opportunities

Job Title: AI Developer or Architect

Company: TestGrid

Position Summary:

We're looking for a versatile AI Developer who enjoys moving fluidly across the entire AI solution lifecycle-from shaping ideas with stakeholders through to delivering production-ready intelligent features. You'll sit at the intersection of software engineering, data, and product, helping us turn large, messy problems into clear, reliable, and responsible AI-powered experiences.

Key Responsibilities:

• Collaborate end-to-end: Partner with product managers, designers, data engineers, and domain experts to translate business opportunities into AI-enabled features.
• Design & build solutions: Architect, implement, and iterate on the components (services, pipelines, or integrations) that bring intelligence into our applications-selecting the right approaches, tools, or services for the problem at hand.
• Operationalize AI: Package, test, deploy, and monitor AI assets in production environments, ensuring they remain scalable, performant, explainable, and cost-effective.
• Drive continuous improvement: Evaluate emerging methods, conduct lightweight experiments or proof-of-concepts, and feed learnings back into the roadmap.
• Champion best practices: Promote clean code, reliable data handling, reproducibility, documentation, and ethical AI guidelines across the team.
• Cross-functional communication: Explain complex technical ideas in plain language, gather feedback, and help non-technical colleagues make informed decisions.

Core Qualifications & Skills:

• Solid programming experience in at least one general-purpose language (e.g., Python, Java).
• Practical familiarity with modern AI/ML libraries, frameworks, or cloud-native AI services.
• Good understanding of data structures, algorithms, and software-engineering fundamentals (testing, CI/CD, version control).
• Experience shipping or supporting data-driven features in a production environment (web, mobile, edge, or embedded).
• Comfortable navigating the full solution stack-data ingestion, feature engineering, model evaluation, deployment, and monitoring-even if you're not a deep specialist in any one layer.
• Strong analytical mindset, growth orientation, and willingness to learn new tools or paradigms as needed.
• Clear written and verbal communication skills, plus a collaborative, product-focused attitude.

How to Apply:

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience to Please include "AI Developer - TestGrid" in the subject line.

Join Figen AI - a mission-driven French fintech redefining WealthTech with vertical AI

Figen AI is a Paris-based fintech applying state-of-the-art artificial intelligence to wealth and asset management.

Our proprietary multi-agent architecture, combined with legally vetted tax and regulatory databases, has made us the reference for vertical AI in the WealthTech space. As a société à mission, we also run pro-bono AI projects with leading public-interest organisations.

Since our launch, adoption has been rapid thanks to our unique mix of regulatory reliability, complex-task automation, data security and tailor-made integrations. We already gather hundreds of companies, including market leaders and major institutions, and our team is filled with former founders and top-tier specialists.

If you're passionate about AI and want to build products with real-world impact, we'd love to meet you.

Your Role

Large-Language-Model Optimisation

• Fine-tune and align large language models for specialised financial use cases.
• Build agentic solutions with frameworks such as LangChain and Autogen.

Advanced Data Engineering

• Work with extensive datasets; apply cutting-edge machine-learning techniques to create robust, scalable models that handle complex financial and tax information.

Production-Scale Deployment

• Ship and monitor models in high-demand production environments, guaranteeing scalability, performance and reliability.

Tech Watch & Innovation

• Stay on top of the latest AI research and tooling; keep Figen AI ahead of the curve by integrating emerging best practices before the market even asks for them.

What We're Looking For

Proven technical impact - show us your GitHub commits, Kaggle scores or any other tangible achievements.

We welcome people from diverse backgrounds, whether you studied at an Ivy League university or never set foot in a classroom.

Core skills

• Strong command of Python, Laravel, R and SQL.
• Hands-on experience with TensorFlow, PyTorch, LangChain, Autogen.
• Demonstrated fine-tuning / optimisation of LLMs for domain-specific tasks.
• French proficiency is a plus but not mandatory.

Why Figen AI?

• Breakthrough innovation: as a Jeune Entreprise Innovante de Rupture, deep R&D is our default.
• Autonomy & trust: flexible hours and the option to work from abroad
• Direct impact: shape the next generation of AI agents in finance and savings.
• Mission-driven culture: contribute to pro-bono projects with recognised public-interest organisations.

How to Apply :

Send us your résumé and, above all, concrete evidence of what you've built or achieved.

Ready to build the future of AI agents with us?

Apply now!

Lead Engineer - Agentic AI/Python/Cloud/Architecture

As an Architect/Technical Lead, you will be responsible for designing, developing, and deploying cutting-edge AI-powered solutions. You will lead the technical direction, ensuring our platforms are scalable and reliable, and leverage the latest advancements in Generative AI and cloud computing. You will work closely with product managers, engineers, and data scientists to build world-class AI experiences.

Responsibilities:

Architectural Design:

Design and implement robust, scalable, and secure cloud-based architectures.

Define technology stacks, including AI/ML frameworks, cloud services, and related technologies.

Ensure seamless integration with existing systems and third-party services.

Technical Leadership:

• Lead a team of engineers, providing technical guidance and mentorship.
• Drive the development process, ensuring adherence to best practices and coding standards.
• Conduct code reviews and ensure high-quality deliverables.

Gen AI Expertise:

• Stay up-to-date with the latest advancements in Generative AI and apply them to product development.
• Evaluate and select appropriate LLMs and AI models.
• Develop and optimize AI models for performance and accuracy.
• Implement fine-tuning and training strategies for AI models.

Cloud Infrastructure:

• Design and implement scalable and cost-effective cloud infrastructure (e.g., AWS, Azure, GCP).
• Ensure high availability, reliability, and security of cloud platforms.
• Optimize cloud resources for performance and cost.

Technology Implementation:

• Design and implement robust API's and microservices.
• Optimize system performance and identify areas for improvement.
• Implement monitoring and logging systems to ensure system health.

Collaboration and Communication:

• Work closely with product managers to define product requirements and roadmaps.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
• Collaborate with data scientists to improve AI model performance.

Troubleshooting and Optimization:

• Troubleshoot complex technical issues and provide timely solutions.

Experience:

• Minimum of 8+ years of experience in software development, with a focus 1 on cloud-based systems.
• Proven experience in architecting and leading the development of complex AI-powered products.
• Extensive experience with cloud platforms (AWS, Azure, GCP).
• Strong experience with Gen AI technologies, including LLMs, and related AI/ML concepts.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Node.js.
• Deep understanding of cloud architecture and services.
• Expertise in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch).
• Strong knowledge of RESTful APIs and microservices architecture.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).

Why Zenoti?

• Be part of an innovative company that is revolutionizing the wellness and beauty industry.
• Work with a dynamic and diverse team that values collaboration, creativity, and growth.
• Opportunity to lead impactful projects and help shape the global success of Zenoti's platform.
• Attractive compensation.
• Medical coverage for yourself and your immediate family.
• Access to regular yoga, meditation, breathwork, and stress management sessions. We also include your family in benefit awareness initiatives.
• Regular social activities, and opportunities to give back through social work and community initiatives.

Job Title: AI Engineer

Want to join a startup, but with the stability of a larger organization? Join our innovation team at HGS that's focused on building SaaS products. If you are highly driven & passionate person who'd like to build highly scalable SaaS products in a startup type of environment, you're welcome to apply.

The HGS Digital Innovation Team is designed to create products and solutions relevant for enterprises, discover innovations and to contextualize and experiment with them within a specific industry. This unit provides an environment for the exploration, development, and testing of Cloud-based Digital AI solutions. In addition to that it also looks at rapid deployment at scale and sustainability of these solutions for target business impacts.

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-paced environments is critical.

Responsibilities

• Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
• Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
• Build secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards.
• Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
• Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
• Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
• Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
• Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
• Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
• Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.

Qualifications

• Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields.
• 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products.
• Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features.
• Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
• Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud).
• Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
• Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments.
• Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success.
• Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

We are looking for an experienced and results-driven AI Developer to join our team. The ideal candidate will be responsible for developing, deploying, and optimizing AI and machine learning models to solve real-world business problems. You will collaborate with cross-functional teams to deliver scalable and ethical AI solutions using state-of-the-art tools and technologies.

Experience : Minimum 2 yrs of experience.

Key Responsibilities

Data Engineering & Preprocessing

• Collaborate with data scientists and engineers to source, clean, and preprocess large datasets.
• Perform feature engineering and data selection to improve model inputs.

AI Model Development & Implementation

• Design, build, and validate machine learning and deep learning models, including:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs/LSTMs)
• Transformers
• NLP and computer vision models
• Reinforcement learning agents
• Classical ML techniques
• Develop models tailored to domain-specific business challenges.

Performance Optimization & Scalability

• Optimize models for performance, latency, scalability, and resource efficiency.
• Ensure models are production-ready for real-time applications.

Deployment, MLOps & Integration

• Build and maintain MLOps pipelines for model deployment, monitoring, and retraining.
• Use Docker, Kubernetes, and CI/CD tools for containerization and orchestration.
• Deploy models on cloud platforms (AWS, Azure, GCP) or on-premise infrastructure.
• Integrate models into systems and applications via APIs or model-serving frameworks.

Testing, Validation & Continuous Improvement

• Implement testing strategies like unit testing, regression testing, and A/B testing.
• Continuously improve models based on user feedback and performance metrics.

Research & Innovation

• Stay up to date with AI/ML advancements, tools, and techniques.
• Experiment with new approaches to drive innovation and competitive advantage.

Collaboration & Communication

• Work closely with engineers, product managers, and subject matter experts.
• Document model architecture, training processes, and experimental findings.
• Communicate complex technical topics to non-technical stakeholders clearly.

Ethical AI Practices

• Support and implement ethical AI practices focusing on fairness, transparency, and accountability.

Required Qualifications & Skills

Core Technical Skills

• Proficient in Python and experienced with libraries such as TensorFlow, PyTorch, Keras, Scikit-learn.
• Solid understanding of ML/DL architectures (CNNs, RNNs/LSTMs, Transformers).
• Skilled in data manipulation using Pandas, NumPy, SciPy.

MLOps & Deployment Experience

• Experience with MLOps tools like MLflow, Kubeflow, DVC.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Proven ability to deploy models on cloud platforms (AWS, Azure, or GCP).

Software Engineering & Analytical Thinking

• Strong foundation in software engineering: Git, unit testing, and code optimization.
• Strong analytical mindset with experience working with large datasets.

Communication & Teamwork

• Excellent communication skills, both written and verbal.
• Collaborative team player with experience in agile environments.

Preferred

Advanced AI & LLM Expertise

• Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA).
• Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
• Experience with LangChain, LlamaIndex, and Hugging Face Transformers.
• Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate).

Domain-Specific Experience

• Experience applying AI in sectors like healthcare, finance, retail, manufacturing, or customer service.
• Specialized knowledge in NLP, computer vision, or reinforcement learning.

Academic & Research Background

• Strong background in statistics and optimization.
• Research publications in top AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL) are a plus.

About the Company

Zetheta Algorithms Private Limited () is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning.

Responsibilities

• Design and implement the complete AI Models following provided specifications
• Develop both frontend and backend components of the platform
• Create and integrate AI modules
• Design and optimize database schema and queries
• Ensure system security, especially for sensitive identity verification data
• Deploy the solution using zero-cost cloud services
• Document code, APIs, and system architecture
• Complete the entire project within the 2 month timeline

Qualifications

A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field and is available full time for 2 months.

Required Skills

• Strong programming skills in Python and JavaScript
• Experience with React.js for frontend development
• Knowledge of FastAPI or similar Python web frameworks
• Familiarity with database design and SQL (particularly PostgreSQL)
• Understanding of basic machine learning concepts
• Self-motivated with ability to work independently

Preferred Skills

• Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers)
• Familiarity with computer vision techniques using OpenCV
• Knowledge of natural language processing concepts
• Sound knowledge of facial recognition or emotion detection systems
• Understanding of identity verification methodologies
• Docker containerization experience
• Prior work with cloud deployment (AWS)

Who Should Apply?

• Student of fresh graduate from any academic discipline.
• Strong analytical and problem-solving skills.
• Basic knowledge of Microsoft Office.
• Willingness to self-learn and work in a fast-paced environment.

Internship Details

• Duration: Self paced, option for 1 month or 2 month (within a period of 4 months provided).
• Type: Unpaid

Company Description

Binford Research Labs is an innovative company in the military and defence industry that aims to disrupt and advance the industry with progressive solutions. The company is comprised of tech enthusiasts, innovators, and engineers who design and engineer all crucial components of their products and systems since 2018.

Role Description

As an AI Engineer at Binford Research Labs Pvt Ltd, you will play a crucial role in advancing our unmanned autonomous systems. You will be responsible for:

• Collaborate with cross functional teams to design, develop, and integrate artificial intelligence components into our autonomous systems.
• Create and optimize algorithms for tasks such as object detection, navigation, and decision-making to enhance the capabilities of our unmanned systems.
• Utilize machine learning techniques to improve system performance, including reinforcement learning and deep learning.
• Manage and process large datasets to train and fine-tune AI models.
• Conduct rigorous testing, validation, and simulation to ensure the reliability and safety of AI-driven systems.
• Stay updated with the latest advancements in AI and robotics to incorporate cutting-edge technologies into our solutions.
• Work closely with our team of engineers, researchers, and military experts to meet project goals and milestones.

Skills:

To excel in this role, you should possess the following qualifications:

• Proficiency in programming languages Python, SQL, C++, and Java.
• Strong knowledge of machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with robotics and autonomous systems is a plus.

Experience:

Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Master's degree is a plus.

• Minimum of 2 years of hands-on experience in AI development and engineering.
• Experience in computer vision, natural language processing, and reinforcement learning.

Job Title: Systems Engineer

Location: Infosys BPM - Bangalore

Job Type: Full-Time

Experienec-2-4 Years

Notice Period-Immediate Joiners

Job Description:

-Must have

Knowledge / Experience in AI Model Engineering

Proficiency in programming languages such as Python or Java, or C++.

Implement and maintain scalable systems for deploying and managing AI models.

Develop and maintain infrastructure as code (IaC) using tools like Terraform, ARM templates, or Bicep.

Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability and efficiency.

Stay up to date with the latest advancements in AI, cloud computing, and DevOps practices.

Ensure security and compliance standards are met across all systems and deployments.

Good to have

UI/UX understanding / experience; Develop and maintain front-end applications to support AI model interfaces and user interactions.

Design and implement backend data structures to support AI model training, deployment, and management.

Automate deployment processes and workflows to streamline model updates and scaling.

Qualifications:

Proficiency in scripting languages such as Python, PowerShell, or Bash.

Bachelor's degree in computer science, Engineering, or a related field.

Proven experience as a Systems Engineer, DevOps Engineer, or similar role is desired

Experience with infrastructure as code (IaC) tools like Terraform, ARM templates, or Bicep.

Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Azure Pipelines.

Problem-solving skills and the ability to work collaboratively in a team environment is desired

Experience in front-end development using frameworks such as React, Angular, or Vue.js is desired

Experience in backend data structuring and database management is desired

Experience with AI/ML model deployment and management

Preferred Qualifications:

Certification in Microsoft Azure (e.g., Azure Solutions Architect, Azure DevOps Engineer).

Understanding of security best practices in cloud environments.

Regards,

Infosys BPM Recruitment team

TCS Hiring for AI/ML Engineer role

Required Technical Skill Set: AIML, LLM, NLP, Python

Experience: 6 to 12 years

Location: Pune / Bhubaneshwar / Bangalore

Must-Have:

• Expertise on NLP, LAMA Model
• Expertise AI, ML, GENAI
• Experience on identifying right model and train models.
• Machine learning (ML), Data Science, Statistical modeling.
• Python Programming.
• Develop and maintain a platform that automates creating, training, deploying and updating machine learning models.
• Build, maintain, and optimize machine learning solutions.
• experience building large-scale data pipelines.
• GEN-AI knowledge
• Python programming, NLP, LLM
• Artificial Intelligence, Machine Learning

Qualifications

• Bachelor's degree or equivalent in Computer Science
• 4+ years' experience, candidates with less than 4 years of experience will not be considered.

Thanks

Seema

Key Requirements:

• Overall 8+ yrs experience with 2+ years of hands-on experience in developing AI/ML applications and intelligent workflows
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, Hugging Face, or Scikit-learn
• Strong understanding of machine learning pipelines and deployment
• Experience with cloud AI/ML platforms
• Familiarity with workflow tools like Airflow, Kubeflow, or LangChain
• Exposure to large language models (LLMs) and GenAI tools is a strong plus
• Knowledge of MLOps practices and tools is preferred

Korn Ferry is partnering with GEN AI-native health tech company which transforms the patient experience by enabling greater engagement through personalized digital health tools. The platform is used by more than 1,000 healthcare organizations and serves over 10 million patients annually, improving healthcare outcomes by empowering patients to manage their care.

Title: AI Engineer

Reporting to: Director, Data & AI

Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a talented and innovative AI Engineer to join our growing team of AI experts focused on developing and deploying cutting-edge AI solutions in healthcare environments. This role is ideal for a technically proficient professional with hands-on experience in training and customizing LLMs (both unimodal and multimodal) for complex domain use cases. The successful candidate will work through all phases of the AI development life cycle, including concept and data preparation to model training, evaluation, deployment and maintenance.

This position reports directly to the Director, Data & AI, collaborating with cross-functional teams to implement AI solutions that enhance precision care, patient engagement and operational efficiency.

Responsibilities:

AI Model Development and Customization

• Develop, train, and fine-tune large language models (LLMs) for healthcare-specific applications
• Implement techniques for domain adaptation of existing foundation models to healthcare contexts
• Design and implement multimodal AI systems that can process unstructured and structured healthcare data, including images
• Optimize model performance, accuracy, and efficiency for production environments

Technical Implementation

• Write clean, maintainable code for AI model training, evaluation, and inference
• Maintain data pipelines for model training and continuous improvement using feedback loops
• Implement best practices for model versioning, experiment tracking, and reproducibility
• Integrate AI solutions with existing product architectures and infrastructure

Data Engineering and Management

• Process and prepare healthcare data for use in training and testing AI models
• Implement data privacy and security measures compliant with healthcare regulations
• Create synthetic data generation solutions when appropriate
• Develop strategies for handling imbalanced, sparse, or noisy healthcare datasets

Evaluation and Bias Assessment

• Design and implement robust evaluation frameworks for AI model performance
• Develop metrics and KPIs to measure model effectiveness in real-world scenarios
• Identify and address potential biases in training data and model outputs
• Conduct thorough testing to ensure model reliability and accuracy

Collaborative Development

• Work closely with product teams to translate requirements into technical implementations
• Collaborate with clinical experts to ensure AI solutions meet healthcare needs
• Participate in agile development processes, including sprint planning and reviews
• Document technical approaches, model architectures, and implementation details

Continuous Learning and Innovation

• Stay current with the latest advancements in LLMs and AI for healthcare
• Experiment with emerging techniques and technologies to improve model capabilities
• Contribute to internal knowledge sharing and technical discussions
• Identify opportunities for innovation and improvement in existing AI systems

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• Minimum 2+ years of hands-on experience with:
• Training and fine-tuning LLMs
• Implementing multimodal AI solutions
• Working through the complete AI development lifecycle
• Developing AI solutions for complex domain use cases
• Technical proficiency in:
• Python programming and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Fine-tuning techniques for LLMs (prompt engineering, PEFT, LoRA, etc.)
• Natural Language Processing (NLP) and Understanding (NLU)
• Cloud computing and ML operations platforms
• Version control and collaborative development tools
• Experience with:
• Developing AI systems in regulated environments
• Healthcare data or other complex domain data
• Implementing evaluation metrics for AI model performance
• Deploying models to production environments
• Strong problem-solving skills and analytical thinking
• Ability to work effectively in fast-paced, agile environments
• Experience working with cross-functional teams
• Self-motivated with ability to work independently and collaboratively
• Excellent communication skills, both written and verbal
• Ability to explain technical concepts to non-technical stakeholders
• Strong documentation habits and attention to detail
• Collaborative mindset and team-oriented approach
• Basic understanding of healthcare data types and workflows (preferred)
• Awareness of healthcare regulatory requirements (e.g., HIPAA, GDPR)
• Knowledge of responsible AI practices and ethical considerations
• Familiarity with healthcare terminology and patient care processes (a plus)
• Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations

Job Title: Data Scientist and LLM Operations Specialist

Position Overview: We are seeking a highly skilled Data Scientist and LLMOps Resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics.

Total Experience required: 4-6 years

Location: PAN India

Key Responsibilities:

• Scope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions.
• Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases.
• Collaborate with SMEs to evaluate prompt effectiveness and align AI solutions with business needs.
• Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements.
• Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems.
• Monitor LLM applications for model drift, hallucinations, and performance degradation.
• Ensure smooth integration of LLMs into existing workflows, providing real-time insights and predictive analytics.

Qualifications For AI/ML Engineer:

• Solid experience in business analytics, data science, software development, and data engineering.
• Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX.
• Hands-on experience working with LLMs and Generative AI, including model development and inference patterns.
• Proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments.

Preferred Skills:

• Experience in prompt engineering and prompt optimization.
• Expertise in running experiments to evaluate generative AI performance.
• Knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies.
• Excellent problem-solving skills and ability to work cross-functionally with data scientists, engineers, and SMEs.
• Experience with safety, security and responsible use of AI.
• Experience with red-teaming (adversarial testing) of generative AI.
• Experience with developing AI applications with sensitive data such as PHI, PII and highly confidential data.

Best reqpedia Tech Talent Recruitment

Welcome to Reqpedia, where opportunities meet talent! Find your dream job or discover the perfect candidate for your company Our platform connects employers.

Skill:- Agentic AI, Crew.AI, Deep Learning

Experience:- 5-13 years

Location: Mumbai / Pune / Chennai / Hyderabad / Bangalore / Kolkata / Delhi / Noida/ Coimbatore

Job Description:-

• At least 5+ years overall experience including Artificial Intelligence Machine Learning Deep Learning
• Indepth understanding of Agentic AI concepts
• Experience in creating agents using LangGraph and Crewai
• Experience designing customer facing production grade AI GenAI applications considering scalability reliability and security
• Adept in identifying technical hurdles and bottlenecks identifying and implementing wayouts and solutions and discussing technical implementation options with customers
• Experience on deploying AI solutions exposing solutions as REST API in containerized solutions
• Experience working extensively with large language models LLMs to build innovative AI solutions
• Adept at using Prompt Engineering and Retrieval Augmented Generation
• Design and deploy AI solutions on AWS infrastructure
• Collaborate with crossfunctional teams to integrate AI capabilities into products and services
• Good communication skill

StitchFin is an innovative startup revolutionizing the healthcare space by building cutting-edge AI solutions. We are seeking an enthusiastic AI Engineer to lead the development of cutting-edge voice AI systems and intelligent agents. In this role, you will design, develop, and deploy advanced AI models and systems that deliver exceptional user experiences through conversational interfaces.

Responsibilities

AI Development and Deployment

• Develop and maintain AI-driven, real-time speech-to-speech conversational agents
• Build low-latency, high-impact features that enhance user experiences
• Design and implement end-to-end AI pipelines
• Optimize AI systems for performance, scalability, and reliability
• Collaborate on defining and tracking success metrics for AI features

Technical Requirements

• 5+ years of hands-on software engineering experience with Python or similar languages
• Experience building and scaling distributed systems in cloud environments
• Proficiency in API design
• Proficiency with generative AI frameworks and tools
• Hands on experience with large language models, prompt engineering.
• Demonstrated ability to write clean, maintainable, and well-tested code
• Experience with CI/CD pipelines, cloud platforms like AWS and deployment automation
• Knowledge of monitoring, observability, and production debugging tools
• Familiarity with vector databases

Preferred Qualifications

• Experience in Healthcare or financial services industry.
• Experience building AI voice assistants or conversational agents
• Contributions to open-source AI projects or GitHub repositories demonstrating relevant work
• Knowledge of multimodal AI systems combining text, voice, and other inputs

What We Offer

• Opportunity to work on cutting-edge AI technology with real-world impact
• Competitive compensation and benefits package

Qualified candidates are encouraged to submit their resume along with links to relevant GitHub repositories or project examples that demonstrate experience with AI or related technologies.

Role: AI Engineer

Exp: 4+ Yrs

Location: Remote

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We're Hiring: AI Intern (Paid Internship)

Work From Home Duration: 2-3 Months Remote Internship

Are you passionate about Artificial Intelligence and looking for an opportunity to apply your skills to real-world projects?

Join Cano Solutions Pvt. Ltd. and gain hands-on experience working on innovative AI solutions, from machine learning models to data-driven insights.

• Assist in the development and deployment of AI models
• Work with machine learning algorithms for problem-solving and data analysis
• Analyze and preprocess large datasets for model training
• Collaborate with the tech team to enhance AI applications
• Help with testing and optimizing AI models for improved performance

• Students or freshers pursuing a degree in Computer Science, Data Science, Engineering, or related fields
• Knowledge of Python, TensorFlow, Keras, or similar AI frameworks
• Understanding of machine learning algorithms (supervised/unsupervised learning)
• Basic understanding of data preprocessing and cleaning
• Available for remote work for 2-3 months

• Paid Internship + Certificate of Completion
• Opportunity to work with cutting-edge AI technologies
• Mentorship from AI professionals and exposure to real-world projects
• Letter of Recommendation for top performers
• Flexible work hours from home

How to Apply:

️ Apply via LinkedIn or

️ Send your resume and any AI-related projects to interns

Embark on your AI journey and make a real-world impact with us!

Company Description

PERSPECTIV LABS, located in Bengaluru, specializes in AI Computer Vision, Machine Learning, and 3D technologies with over 15 years of experience. They are renowned for their expertise in industrial and retail Computer Vision and Artificial Intelligence Solutions, providing cutting-edge solutions to various industries.

Role Description

This is a full-time remote role for an Artificial Intelligence Engineer at PERSPECTIV LABS. The AI Engineer will be responsible for tasks such as pattern recognition, neural networks, LLVM, software development, and natural language processing. The role is based in Bengaluru with flexibility for some remote work.

Qualifications

• Pattern Recognition, Neural Networks, and Software Development skills
• Good working knowledge of OpenCV & Similar vision libraries.
• Vision Systems hands on development experience.
• Industrial vision systems knowledge is a plus.
• Strong background in Computer Science.
• Proficiency in programming languages such as Python, Java and C++
• Ability to work collaboratively in a team environment
• Excellent problem-solving and analytical skills
• BTech or Master's in Computer Science.
• 1-3 years of Hands on Experience desired.

Challenge for the Engineers applying.

Those interested to apply, have to solve the below challenge.

Please fill in the questionnaire once challenge response is submitted in the git.

Industry

• Software Development

Employment Type

Full-time

Designation - AI Engineer

Expereience- 3 to 5 years

Location- United Kingdom & India

Tech Stack: Python, FastAPI, Ray, Delta Lake, Polars, Kubernetes, Hugging Face, Kafka, LLMs

About Us

At DLT Apps, we're building a powerful AI-native platform that transforms how financial institutions work with data, documents, and decisions. Across our suite of products - including Terra AI (data migration & doc understanding), Zeta (AI-powered financial advice), and Qkvin (AI-first KYC/AML) - we're applying LLMs, vision models, and real-time infrastructure to solve real-world financial challenges.

You'll be joining a core engineering team that's deeply technical, fast-moving, and obsessive about product quality. We build composable, API-first tools that bring ML into the hands of advisors, analysts, and operations teams.

What You'll Be Doing

• Designing and building robust APIs to serve AI features like document parsing, entity extraction, summarisation, and classification - all powered by LLMs.

• Fine-tuning and integrating open-source LLMs and vision models, optimising for performance, latency, and token efficiency.

• Deploying inference workloads on Ray, scaling across GPUs, and integrating them into FastAPI-powered microservices.

• Orchestrating workflows using Argo, streaming data from Kafka, and processing it through task runners.

• Building data pipelines with Delta Lake, DuckDB, and Polars to feed ML models and power analytics dashboards.

• Logging and monitoring model performance in production, setting up observability for drift, quality, and throughput.

• Collaborating on internal tools that support rapid ML development - including prompt management, result tracing, and annotation feedback loops.

We'd Love to See

• Strong Python skills, especially around FastAPI, Pydantic, and ML tooling.

• Experience deploying and scaling LLMs in production - bonus if you've used vLLM, Transformers, TGI, or NVIDIA Triton.

• Solid understanding of Kubernetes, Docker, and cloud-native ML infra (especially for GPU scheduling, job submission, etc.).

• Familiarity with vector databases (e.g. Milvus, Qdrant), semantic search, and prompt engineering.

• A track record of shipping ML features - not just training models, but putting them into users' hands.

• Bonus: Exposure to financial data, document-heavy workflows, or RegTech.

Why You Should Join

• Be part of a product-first AI team that's building for real users - not just papers or benchmarks.

• Work across the stack - from inference optimization to data engineering to LLM UX.

SOLIZE India Technologies Private Limited

About SOLIZE : SOLIZE Group is a global engineering company listed on the Tokyo Stock Exchange, with operations spanning Japan, China, India, the European Union, and the USA. We boast over 2,000 engineers dedicated to supporting major automotive OEMs, sub-system suppliers, and other cutting-edge automotive technology innovators in developing efficient and sustainable mobility solutions. With a successful history of over 3 decades and a revenue exceeding USD 160 million, we are the preferred partner for product development support.

SOLIZE India Technologies Pvt. Ltd., a subsidiary of SOLIZE Group, is establishing a new Automotive Product Development Group with an initial focus on Two-Wheeler Technologies. This group will provide product development support to Japanese and other global manufacturing companies.

Job Title: AI Engineer

Job Location: Bangalore

Employment Type: Full Time, Permanent

Experience Level - 3+ years

Required Skills

• Knowledge of anomaly detection techniques (statistical models, unsupervised learning)
• Experience in integrating AI models (optimization for edge devices, TensorFlow Lite, etc.)
• Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN)
• Experience with Python libraries (TensorFlow, PyTorch, scikit-learn, etc.)
• Understanding of time-series data processing (experience with LSTM, GRU, etc.)
• Sensor data processing (noise reduction, feature extraction, preprocessing techniques)
• Data visualization and analysis skills (Pandas, Matplotlib, Seaborn)
• AI model optimization and evaluation methods (cross-validation, hyperparameter tuning)

Other Requirements (Non-Skill Related)

• Age: 25-35 years old (preferably young to mid-career professionals with flexible thinking and a strong willingness to learn)
• Interest in Japanese culture (such as anime)
• Engineering background (knowledge of device drivers and hardware may be required)

Ideal Candidate Profile

• Strong interest in AI and embedded development with a high motivation for self-learning
• Team-oriented with excellent problem-solving skills
• Keen interest in Industrial IoT and a willingness to deepen their knowledge

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