Principal GenAI Engineer

About this role

Principal GenAI Engineer Location: Gurugram - 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, 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 Roles & Responsibilities Develop and optimize LLM-based solutions : Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownership : Build and maintain/review high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integration : Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaboration : Work closely with product owners, data scientists, and busin