Senior AI Engineer

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.