Agentic AI Engineer

We're hiring an AI Engineer Agentic AI & Knowledge Graphs for one of India's leading conglomerate. Location: Mumbai (Fort) Experience: 5-10 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 5-10 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. We're hiring an AI Engineer Agentic AI & Knowledge Graphs for one of India's leading conglomerate. Location: Mumbai (Fort) Experience: 5-10 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 5-10 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.