Agent Developer - Knowledge Graph

Agent Developer – Knowledge Graph Specialization

Location: Chennai – Hybrid

Experience: 6–12 Years

We are looking for a strong Agent Developer with Knowledge Graph specialization to build AI solutions grounded in structured enterprise knowledge.

Key Responsibilities

• Design and develop ontology-driven Knowledge Graphs for enterprise data and knowledge sources

• Model entities, relationships, taxonomies, hierarchies, metadata, lineage, and provenance

• Implement Graph RAG, hybrid RAG, semantic search, embeddings, and context-ranking

• Integrate graph databases with LLM applications and agent workflows

• Build and enhance agents using LangGraph, LangChain, or similar frameworks

• Improve grounding, retrieval quality, explainability, and knowledge consistency

• Collaborate with AI, backend, and domain teams to operationalize reusable knowledge models

Mandatory Skills

• Strong hands-on Python development

• LangGraph / LangChain or equivalent Agentic AI framework

• Neo4j / Amazon Neptune or similar Graph DB

• Cypher / Gremlin / SPARQL

• Knowledge Graph & Ontology Modelling

• Entity and relationship modelling, taxonomy, hierarchy, metadata, lineage & provenance

• RAG / Graph RAG / Hybrid RAG / Semantic Search

• Embeddings and Vector DBs such as Pinecone / FAISS

• LLM APIs such as OpenAI / Azure OpenAI / Anthropic / AWS Bedrock

• Experience integrating Knowledge Graphs with LLM/Agentic AI applications

Experience Required

• 6–12 years of overall experience

• Minimum 2+ years of relevant hands-on experience in Agentic AI, Knowledge Graphs, Ontology Modelling, or Semantic Retrieval