16,793 Generative AI jobs in India

At Align Labs, we build intelligent systems, AI-powered tools, and data platforms that enable ventures to scale faster, smarter, and more efficiently. From real-time analytics to generative agents, we operate at the frontier of applied AI designing products that power discovery, creativity, and business growth across markets. We intend to rethink digital transformation and product development with our collaboratos

We are looking for an AI & Data Engineer a hybrid of a data scientist, computer scientist, and software engineer who thrives on building, experimenting, and deploying real systems at scale. If you’ve ever wanted to go beyond research notebooks and ship production-grade AI products, this is your playground.

What you'll do

• Design & Build AI Systems : Develop end-to-end pipelines (data ingestion, cleaning, embeddings, model training, evaluation, and deployment).
• Engineer Scalable Infrastructure : Architect APIs, microservices, and data systems (structured + unstructured) that integrate into live products.
• Experiment & Ship : Prototype generative AI tools, retrieval-augmented generation (RAG) systems, and autonomous agents—and push them into production.
• Full-Stack Thinking : Move fluidly between model work, backend engineering, and systems design.
• Collaborate Across Ventures : Work alongside product managers, designers, and founders to bring new AI-powered ventures to life.

What we're looking for

• Strong programming background (Python, Node.js, or similar ) and deep comfort with software engineering best practices.
• Experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.).
• Knowledge of data engineering & databases (SQL/NoSQL, vector DBs like Pinecone/Weaviate, cloud storage).
• Familiarity with MLOps and deployment (Docker, Kubernetes, AWS/GCP/Azure).
• Hands-on exposure to retrieval systems, embeddings, and RAG pipelines .
• A builder’s mindset -comfortable taking ownership from zero-to-one.
• Experience with multi-modal systems (text, voice, vision).
• Interest in generative agents, conversational AI, or recommendation engines .
• Previous work in startups or venture studios .

Why join us

• Build real AI systems, not just demos—your work will power products used across multiple ventures.
• Work in a lean, fast, experimental environment with founders and creators.
• Shape the future of applied AI in India and beyond.
• Flat structure, high trust, and room to own and grow.

Send your LinkedIn profile, GitHub/portfolio, or anything that showcases your projects and builds to

About the Company

TEKsystems Global Services

About the Role

We are looking for candidates with AI/ML experience on Azure (Azure ML, Azure OpenAI, Document Intelligence), AWS (SageMaker, Bedrock, Agents, Q), or GCP (Vertex AI, Google AI Platform) Kubernetes, serverless functions, and MLOps tools.

Responsibilities

• AI/ML experience on Azure (Azure ML, Azure OpenAI, Document Intelligence)
• AWS (SageMaker, Bedrock, Agents, Q)
• GCP (Vertex AI, Google AI Platform)
• Kubernetes, serverless functions, and MLOps tools

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field
• 5–18 years of hands-on AI/ML engineering experience

Required Skills

• Strong experience with Generative AI models (LLMs, Transformers, GANs, Diffusion Models)
• Experience building autonomous AI agents using LangChain, AutoGen, CrewAI, or LangGraph
• Proficient in Python and ML frameworks like TensorFlow, PyTorch, or Keras
• Skilled in prompt engineering for LLM optimization
• Cloud deployment experience on AWS, Azure, or GCP
• Solid understanding of ML algorithms, NLP, and RAG techniques
• Familiar with Docker, Kubernetes, and MLOps practices
• Excellent communication and problem-solving skills

Preferred Skills

• Work on impactful AI projects with global clients
• Collaborate with a passionate and innovative team
• Access to the latest tools and cloud platforms
• Opportunities for continuous learning and career growth

IT and Business Services | TEKsystems Global Services

Job Description :

We are seeking a highly skilled and passionate Senior Agentic AI Engineer to join our innovative team. In this role, you will take ownership of the full lifecycle of our cutting-edge agentic AI solutions, from architectural design and independent implementation to successful deployment and ongoing optimization in a production environment.

You will be empowered to drive key technical decisions and will play a crucial role in shaping the evolution of our AI platform.

- Design, develop, and implement agentic AI applications using Python and relevant frameworks.

- Architect and build robust and scalable backend systems.

- Integrate and manage interactions with various Large Language Models (LLMs) through APIs and other interfaces.

- Utilize and optimize vector databases for efficient information retrieval and knowledge management within AI agents.

- Develop and implement sophisticated agentic workflows using frameworks like Autogen, AG2, Langgraph, Agno, or CrewAI.

- Collaborate effectively with cross-functional teams, including product managers, researchers, and other engineers.

- Write clean, well-documented, and testable code following best practices.

- Stay up-to-date with the latest advancements in AI, LLMs, and agentic technologies.

- Contribute to the technical direction and architecture of our agentic AI platform.

- Deploy solutions on one or more cloud platforms (AWS, Azure, GCP).

- Participate in code reviews and knowledge sharing within the team.

Minimum Required Skills :

- 7+ years of progressive experience in software development, with a strong track record of independently delivering production-grade backend systems.

- Proven expertise in Python.

- Hands-on experience with Langchain.

- Demonstrated experience with one or more agentic frameworks such as Autogen, AG2, Langgraph, Agno, or CrewAI.

- Experience working with Vector Databases (e.g., Chroma, Pinecone, Weaviate).

- Deep understanding of Large Language Models (LLMs) and their application in building intelligent systems.

- Proficient with Git for version control.

- Comfortable working in a Linux environment.

- Experience deploying and managing applications on one or more cloud platforms (AWS, Azure, GCP).

- Proven experience designing, implementing, and maintaining robust CI/CD pipelines for production deployments.

- Solid understanding and practical experience with both SQL and NoSQL databases.

- Strong leadership and management skills.

- Problem-solving and decision-making skills.

- Planning & Execution

- Excellent Communication & Inter-personal skills.

- Proficient in MS Office suite.

Preferred Skills :

- Experience with BigQuery.

- Proficiency in one or more additional programming languages such as JavaScript, Java, or C#.

- Experience developing multi-agent systems.

- Experience with serverless architecture and/or containerization technologies (e.g., AWS Lambda, Azure

Functions, GCP Cloud Functions, Docker, Kubernetes).

- Experience with local LLM execution and management.

- Experience with prompt engineering and fine-tuning LLMs.

- Contributions to open-source AI or agentic projects.

- Strong understanding of security best practices in AI applications.

- Familiarity with MLOps principles.

- Experience with relevant testing frameworks.

- Understanding of AI Ethics and Responsible AI principles.

- Familiarity with other AI/ML technologies such as computer vision, neural networks, and time-series analysis.

What We Offer :

- Competitive salary and performance-based bonuses.

- Health and wellness benefits.

- Opportunity to work in a dynamic and fast-growing environment with a focus on innovation and excellence.

Regards

Shyam J

Senior HR Analyst

106-109, Anna Salai, Guindy, Chennai –

M:

exelatech.com • About EXELA • Instagram • LinkedIn

Software Developer

Key Responsibilities

• Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLMs .
• Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks.
• Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications.
• Integrate LLMs with APIs, databases, vector stores, and enterprise applications.
• Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments).
• Collaborate with cross-functional teams (data engineers, product managers, software engineers) to deliver end-to-end AI solutions.
• Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of new technologies.
• Implement MLOps best practices for continuous training, deployment, and monitoring of models in production.
• Ensure responsible AI practices , focusing on bias mitigation, data privacy, and compliance.

Required Qualifications

• 5+ years of experience in software development (Python preferred; familiarity with Java, C#, or Node.js a plus).
• 2+ years of hands-on experience in Generative AI and LLM-based development.
• Strong knowledge of AI/ML fundamentals including NLP, deep learning, embeddings, and transformers.
• Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar).
• Proven track record of delivering at least 2 production-grade LLM-based projects .
• Experience with LangChain, LlamaIndex, Haystack, or similar frameworks .
• Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).
• Proficiency in containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).
• Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.
• Strong problem-solving, analytical, and communication skills.

Job Title: Generative AI Engineer

Location: Noida

Employment Type: Full-time

About Us

E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks.

Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI

At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, we’ve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape.

E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professional’s profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behavior during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries.

Responsibilities:

· Design and develop LLM models that can understand textual data, uncover meaningful patterns, trends, and insights from unstructured information, ultimately solving analytical use cases.

· Utilize sophisticated algorithms and methodologies to refine and improve the performance of AI models, enabling accurate predictions and actionable outputs for analytical use cases.

· Stay informed about the latest advancements in NLP and LLM models and help us identify and adopt cutting-edge techniques. Continuously improve AI models and effectively address diverse analytical use cases.

· Work closely with cross-functional teams to address complex business challenges using LLM models. Help define the requirements to build and scale LLM models across our customer base.

· Take responsibility to develop and deliver AI models, including POCs

· Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles

· Document methodologies, experiments, and outcomes in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders

· Educate teams on the concepts, tools, and applications of Generative AI technologies, blending training, technical expertise, and practical guidance.

Qualifications:

· A minimum of 5 years of experience in analytics

· A minimum of 3 years of hands-on experience working on NLP, Deep learning and machine learning models and LLMs to solve analytical use cases

· A master’s or bachelor’s degree in data science, Computer Science, Statistics, or a related field

· Experience working with Large Language Models (LLMs), including various prompt engineering techniques, word embeddings and vector databases. Azure stack (AI Search, OpenAI) and understanding of Agentic Architecture is a plus.

· Experience with one or more of the following tools and frameworks – LangChain, LangGraph, OpenAI Assistants API, AutoGen, etc.

· Knowledge of various cloud services (AWS, Azure, GCP) and their management. Experience with cloud native applications and/or deployment is a plus.

· Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.

· Strong knowledge and understanding of Natural Language Processing (NLP) techniques and algorithms, and their practical applications in addressing analytical challenges.

· Proficiency in Python and having working knowledge of other programming languages is a plus, and experience with NLP libraries.

· Knowledge of frontend components and full-stack integration is a plus.

· Experience with large-scale data processing and distributed computing frameworks is a plus.

· Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders.

· A track record of staying up to date with the latest advancements in NLP research and incorporating new techniques into practical applications.

Gen AI Engineer

Job location : India (Remote)

Required skills

• 5+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Experience in driving the engineering team toward a technical roadmap.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

We are seeking an experienced GenAI Lead / Architect to drive the design and development of cutting-edge Generative AI solutions, leveraging advanced orchestration frameworks and graph/vector databases. The ideal candidate is hands-on, with deep technical expertise in building scalable AI architectures, and experienced in leading end-to-end solution design on modern orchestration platforms.

Responsibilities

• Architect and design scalable GenAI solutions that integrate with Temporal for workflow orchestration.
• Build and optimize retrieval-augmented generation (RAG) pipelines using pgvector for vector similarity search and Apache AGE for graph-based reasoning.
• Collaborate with data scientists, ML engineers, and product teams to design AI-driven business solutions.
• Establish patterns and reusable frameworks for GenAI applications, ensuring performance, reliability, and maintainability.
• Evaluate new GenAI models, services, and orchestration strategies to accelerate business adoption.
• Ensure data privacy, compliance, and security across AI workflows and integrations.

Required Skills

• Proven expertise in Generative AI solution architecture and applied machine learning workflows.
• Proficiency with Temporal for orchestrating complex workflows.
• Strong knowledge of vector databases and embeddings, with hands-on experience using pgvector.
• Experience in graph databases, ideally Apache AGE, for building knowledge graphs and advanced reasoning.
• Strong programming skills in Python
• Understanding of LLM fine-tuning, RAG, prompt engineering, and model deployment strategies.
• Experience working with cloud platforms such as Microsoft Azure is a strong plus

Qualifications

• Bachelor’s or Master’s degree in Engineering.
• 6+ years of overall work experience, out of which at least 3+ years in AI solution development.
• Demonstrated success in delivering enterprise-grade AI solutions.

Why Join us

At Grid Dynamics, you will be at the forefront of enterprise AI innovation. Our team pioneers cutting-edge AI solutions that transform industries by driving automation, intelligent decision-making, and hyper-personalized customer experiences. Through initiatives like the Temporal Agentic AI Platform and the AI-Native Development Framework, Grid Dynamics empowers engineers and AI professionals to build scalable, reliable AI systems that solve complex business challenges. With deep partnerships across cloud and AI leaders like Google Cloud and Microsoft, working here means having access to the latest generative AI, machine learning, and automation technologies to create impactful solutions that drive real-world business growth and innovation.