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This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.

What We Are Looking For :

- 8-13 years of experience in ML/AI systems
- 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
- Robust proficiency in Python, LangChain, LangGraph, and SQL
- Experience deploying GenAI systems on AWS / Azure / GCP

Knowledge Graph Expertise :

- Design and scale enterprise Knowledge Graph architectures
- Develop ontologies, taxonomies, and semantic data models
- Implement entity resolution, relationship extraction, and graph enrichment
- Experience with Neo4j, Amazon Neptune, or similar graph databases
- Strong hands-on experience with Cypher (or similar graph query languages)
- Build hybrid retrieval systems combining Knowledge Graphs + vector databases
- Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability

📌 Tanisha Systems - Principal Generative AI Engineer - Large Language Models (India)
🏢 Tanisha Systems
📍 India