Senior AI Engineer – Knowledge Graph & Agentic Systems
Location : Hyderabad (Onsite)
Role Overview
Hands-on engineering role focused on building Knowledge Graph and Agentic AI systems using modern LLM and GraphRAG frameworks. You will design and deploy production-grade AI solutions and work closely with enterprise clients and architects.
Key Responsibilities
- Design and build Knowledge Graphs using Neo4j, Amazon Neptune, TigerGraph
- Develop GraphRAG and ontology-based systems
- Build multi-agent AI systems using LangGraph, LangChain, CrewAI
- Develop LLM-powered applications (OpenAI, Claude, Llama, Gemini, Bedrock)
- Write production-grade Python backend services and APIs
- Optimize retrieval, reasoning, and AI workflows
- Work on CI/CD, testing, observability, and deployment
- Collaborate with enterprise clients and technical teams.
Must-Have Skills
- 8–12 years software engineering experience
- 3+ years AI/ML engineering experience
- Strong Python
- Knowledge Graphs (Neo4j, Neptune, TigerGraph)
- GraphRAG / RAG systems
- LangGraph / LangChain / CrewAI
- Vector DBs (Pinecone, Weaviate, Qdrant, FAISS)
- LLM integration & deployment
- AWS / Azure / GCP
- Docker, CI/CD.
Preferred Skills
- Cypher / Gremlin / SPARQL
- Ontology & schema design
- Multi-agent systems
- AWS services (Bedrock, SageMaker, Lambda, IAM)
- SAP / ERP data exposure
- Research / open-source contributions.
Nice To Have
- Graph Theory
- Semantic search
- Knowledge representation.