Gen AI Developer

Experience: 5–12 Years

Walk-In Date: 19 September 2026

Venue: TCS Magnum, Chennai / Sahyadri Park, Pune

Work Location: Pan India

Role Overview

Looking for experienced professionals with hands-on expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native AI platforms.

Key Responsibilities

- Build, fine-tune, and optimize Large Language Models (LLMs).
- Develop RAG pipelines, vector databases, embeddings, and multimodal retrieval systems.
- Design and integrate Agentic AI workflows, autonomous agents, and multi-agent orchestration solutions.
- Implement prompt engineering, prompt chaining, and guardrails for safe and compliant GenAI outputs.
- Work with open-source and proprietary models including OpenAI, Gemini, Llama, Claude, Mistral, and Falcon.
- Develop and deploy scalable AI solutions leveraging cloud-native platforms and MLOps practices.

Required Skills

Generative AI & LLMs

- OpenAI GPT
- Gemini




- Claude
- Llama
- Mistral
- Falcon

AI Engineering & Frameworks
- Python
- LangChain
- LlamaIndex
- HuggingFace
- PyTorch
- TensorFlow

RAG & Vector Databases
- RAG Pipelines
- Embedding Models
- FAISS
- Pinecone
- Milvus
- Chroma
- OpenSearch

Agentic AI
- LangGraph
- AutoGen
- CrewAI
- Haystack Agents
- Swarm

Cloud & AI Platforms
- Azure OpenAI
- AWS Bedrock
- GCP Vertex AI

MLOps & LLMOps
- SageMaker
- Vertex AI
- Azure ML
- MLflow
- Kubeflow

DevOps
- Docker
- Kubernetes
- CI/CD
- Microservices

Preferred Experience

- Hands-on experience building and deploying GenAI solutions in production environments.
- Experience across NLP, supervised learning, unsupervised learning, and time-series machine learning use cases.
- Solid understanding of scalable AI architecture and enterprise AI adoption.

📌 Gen AI Developer | Walk-In Drive | Chennai / Pune
🏢 Tata Consultancy Services
📍 Chennai