Description

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, LangGraph, and SQL
Experience deploying GenAI systems on AWS / Azure / GCP

Good to Have - 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

Key Skills

Education

Any Graduate