Job Description – Generative AI Engineer Position Title

Generative AI Engineer

Experience

5–12+ Years

Job Summary

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy enterprise-scale AI applications using Large Language Models (LLMs). The ideal candidate should possess robust expertise in Python, LLM frameworks, LangChain, LangGraph, RAG architectures, and Vector Databases to build intelligent, scalable, and production-ready GenAI solutions.

Mandatory Skills

Python Programming
Large Language Models (LLMs)
LangChain
LangGraph
Retrieval Augmented Generation (RAG)
Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS, Qdrant)

Key Responsibilities

Design and develop end-to-end Generative AI solutions.
Build RAG-based applications.
Develop AI agents using LangGraph and LangChain.




Implement prompt engineering and retrieval strategies.
Design vector search pipelines.
Create scalable APIs and backend services.
Integrate OpenAI, Azure OpenAI, Gemini, Claude, and open-source models.
Ensure production readiness and governance.

Required Qualifications

Bachelor's/Master's degree in relevant field.
Solid Python development experience.
Hands-on expertise in LLMs, LangChain, LangGraph.
Experience with RAG architectures.
Experience with Vector Databases and semantic search.

Preferred Skills

Azure OpenAI, OpenAI APIs, Hugging Face, LlamaIndex, FastAPI, Docker, Kubernetes, AWS, Azure, GCP, LLMOps

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📌 Gen Ai Engineer Delhi
🏢 Tata Consultancy Services
📍 Delhi