Senior / Lead Graph RAG & GenAI Engineer

About the Company

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd

Teamware Solutions (a division of Quantum Leap Consulting Pvt. Ltd.) is a 20+ year industry leader providing IT staffing and consulting services, supporting 4000+ professionals across India, USA, Middle East, and APAC for leading GCC clients.

About the Role

We are hiring a Senior / Lead Graph RAG & GenAI Engineer

• Locations: Bangalore, Pune, Gurgaon, Hyderabad
• Work Model: Hybrid (2 days office)
• Experience: 3.6 -8 Years
• Notice Period: Immediate - 15 days

Key skills -

Data Science, ML, and Knowledge Graph with Neo4j and Agentic AI experience is also required

Python, AI, Knowledge Graph - must

Coding must - 2 interview round ( If required they will take 3 rounds)

Shift timing General or 2PM to 11PM

No of Pos - 2

Senior / Lead Knowledge Graph & GenAI Engineer

Role Summary

We are seeking a Senior / Lead Knowledge Graph & GenAI Engineer to design, build, and scale largescale knowledge graph platforms and Graph RAG systems for reasoningheavy GenAI applications. This role requires strong expertise in Neo4j, Cypher, graph data modeling, and Graphbased RAG frameworks (LangChain, LangGraph), along with handson experience managing terabytescale graph databases in production.

You will work at the intersection of graph databases, LLMs, and distributed systems, enabling highimpact, AIdriven knowledge platforms.

Required Skills & Experience

• Strong handson experience with Neo4j (Enterprise preferred).
• Advanced proficiency in Cypher, including indexing, constraints, and query optimization.
• Proven experience managing large, complex, and evolving graph datasets.
• Experience operating TBscale databases with performance and reliability constraints.
• Experience with distributed or enterprise graph databases (e.g., InfiniGraph or similar).
• Solid understanding of graph theory, traversal patterns, and graph algorithms.
• Handson experience with LangChain and LangGraph.
• Strong understanding of RAG architectures, especially Graph RAG.
• Experience integrating LLMs with structured data sources; familiarity with embeddings and vector databases.
• Strong Python development skills.
• Experience building REST / GraphQL APIs.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and Docker, Kubernetes, CI/CD.

Please let me know if you are interested in this position and send me your resume to netra.s@twsol.com