Sr. GenAI Engineer (FS/BE) at Turing

Sr. GenAI Engineer (FS/BE) | Remote (EST Overlap) | Enterprise AI at Scale

Turing is seeking a Senior GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role centers on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures — delivering scalable, explainable, production-grade AI solutions.

Key Requirements

• 8+ years of experience in ML/AI systems with a strong software development background (Full Stack or Backend)
• 2+ years of hands-on experience with LLMs, including RAG, agents, and prompt engineering
• Strong proficiency in Python, LangGraph, and SQL
• 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 Development: Lead the design and deployment of large language models using prompt engineering, RAG, and agent-based architectures
• Codebase Ownership: Build and maintain high-quality, scalable Python code using frameworks like LangChain/LangGraph, with a focus on reusability and performance
• Cloud Integration: Deploy GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and maintaining robust CI/CD pipelines
• Cross-functional Collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products
• Mentorship: Provide technical leadership and foster best practices in machine learning and LLM development across the engineering team

Availability: Immediate to 1-week start. Must have 4-hour EST overlap daily.