Agent Developer – Knowledge Graph Specialization

Location: Chennai – Hybrid
Experience: 6–12 Years

We are looking for a robust 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

📌 Agent Developer (Chennai)
🏢 Radiansys
📍 Chennai