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
- Robust 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.

Work Mode :

Full-time

Job :

ITServices

Location :

Hyderabad

Years of Experience :

8-14

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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