Tata Consultancy Services
Website:
tcs.com
Job details:
GenAI / LLM Engineer (GenAI Developer)
Experience: 4–8+ Years (Relevant)
Location: India (Offshore)
Role Type: GenAI / AI Engineering
Skills Required:
GenAI & LLM frameworks, Vector Databases (OpenSearch, Kendra, FAISS, Pinecone), Embeddings (BERT, Sentence Transformers), AWS Bedrock, LangChain, LangGraph, LlamaIndex, Python, SQL/NoSQL, ML & Deep Learning, Conversational AI.
Role Summary:
Design and build GenAI solutions using LLMs, RAG, embeddings, and agentic AI frameworks to deliver scalable, production‑grade AI applications.
Key Responsibilities:
- Build and optimize LLM workflows using LangChain, LangGraph, LlamaIndex
- Design RAG pipelines, prompt engineering, and fine‑tuning strategies
- Develop agentic AI systems for automation and orchestration
- Integrate vector databases for semantic search and retrieval
- Build and deploy chatbots and conversational AI solutions
- Apply ML & Deep Learning models for business use cases
- Integrate AI solutions with APIs and enterprise platforms
Tech Stack:
Python (mandatory), AWS (preferred), Azure, SQL/Postgres, DynamoDB/MongoDB, Neo4j/Neptune, TensorFlow/PyTorch, Django/Flask/FastAPI, Streamlit/Gradio.
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