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.
Agentic AI Engineer - LLM/RAG • Mumbai
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