Role: Principal GenAI Engineer – Graph RAG | LLM | Knowledge Graph

Location: Bengaluru - 3 Days WFO

Employment Type: Full Time

Experience Level: Principal (8–14 years)

About the Role

Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs to lead enterprise-scale AI implementations for Fortune 500 clients. 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’re Looking For

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




- Good to Have - Knowledge Graph Expertise
- Design and scale enterprise Knowledge Graph architecture
- Develop ontologies, taxonomies, and semantic data models
- Implement entity resolution, relationship extraction, and graph enrichment
- Experience with Neo4j, Amazon Neptune, or similar graph databases
- Solid 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

📌 Principal GenAI Engineer – Graph RAG | LLM | Knowledge Graph (Bengaluru)
🏢 ApTask
📍 Bengaluru