Agent Developer – Knowledge Graph Specialization

Location: Chennai – Hybrid

Experience: 6–12 Years

We are looking for a solid 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 - Knowledge Graph (Chennai)
🏢 Radiansys
📍 Chennai