Agentic AI Engineer - LLM/RAG

Job Description :

We're hiring an AI Engineer - Agentic AI & Knowledge Graphs for one of India's leading conglomerate.

Location : Mumbai (Fort)

Experience : 5 to 10 Years

Education (Mandatory) : B.Tech / B.E from IITs only

Employment Type : Full-Time, Permanent with MNC

Job Summary :

We are looking for passionate AI Engineers with hands-on experience in building production-grade Agentic AI and GenAI applications. In this role, you will design and develop reusable AI solutions powered by LLMs, multi-agent systems, RAG, and Knowledge Graphs that can be adopted across multiple business units.

Key Responsibilities :

• Build production-grade Agentic AI & GenAI applications.

• Design and implement multi-agent workflows using LangGraph/LangChain/CrewAI.

• Develop Knowledge Graphs and GraphRAG solutions using Neo4j.

• Build RAG applications integrated with Vector Databases.

• Develop scalable Python APIs & microservices using FastAPI.

• Deploy and maintain AI solutions using Docker, Kubernetes, CI/CD, and Cloud.

Required Qualifications :

• B.Tech / B.E should be from IITs only.

• 5 to 10 years of experience developing and deploying AI/ML applications.

• Strong programming skills in Python.

• Hands-on experience with LangGraph, LangChain, CrewAI, or AutoGen.

• Strong understanding of Agentic AI, tool calling, memory, and orchestration.

• Experience with Knowledge Graphs, Neo4j, GraphRAG, ontology modeling, and entity resolution.

• Hands-on experience building RAG applications and working with Vector Databases (Pinecone, Weaviate, Qdrant, pgvector).

• Experience developing REST APIs using FastAPI or similar frameworks.