Principal GenAI Engineer (FS/BE) at Turing

Principal GenAI Engineer | LLM & Graph-RAG Expert | Remote (India, EST Overlap)

Turing is seeking a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This is a high-impact role focused on architecting and deploying Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with cutting-edge LLM architectures — delivering scalable, explainable, production-grade AI solutions.

Key Requirements

• 10+ years of experience in ML/AI systems with a strong software development background
• 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
• Strong proficiency in Python, LangGraph, and SQL
• Proven experience deploying GenAI systems on AWS, Azure, or GCP

Nice 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
• Hands-on experience with Cypher or similar graph query languages
• Build hybrid retrieval systems combining Knowledge Graphs and vector databases
• Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability

Roles & Responsibilities

• LLM Solution Development: Lead the design and deployment of large language models using prompt engineering, RAG, and agent-based architectures
• Codebase Ownership: Build, maintain, and review high-quality Python code (LangChain/LangGraph) and SQL with a focus on scalability and reusability
• Cloud Integration: Deploy GenAI applications on cloud platforms (Azure, GCP, AWS), optimizing resource usage and ensuring robust CI/CD pipelines
• Cross-Functional Collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products
• Technical Leadership: Mentor and guide the engineering team, fostering best practices in machine learning and LLM development

Position Details

• Openings: 1
• Location: Remote — India (EST overlap of 4 hours required)
• Availability: Immediate to 1 week
• Stack Focus: Full Stack / Backend