Principal GenAI Engineer

Company Description

As a trusted Oracle Partner, MillionLogics is a global IT solutions leader with a strong presence in London, UK, and a development hub in Hyderabad, India. Our mission is to empower enterprises through scalable, future-ready IT solutions, including Data & AI, Cloud migrations, and enterprise application optimization. Expertly combining business acumen with advanced technical skills, our team of 50+ Oracle specialists is dedicated to delivering tailored, result-driven solutions. Led by visionary leadership, MillionLogics is committed to driving digital transformation with a user-focused approach. Learn more about our work and leadership: MillionLogics.

Location: Bengaluru , Karnataka - 3 Days WFO

Employment Type: Full Time

Experience Level: Principal (8–14 years)

Pay : 55-60LPA

Mandatory knowledge Graph Expertise:

Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs 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)
• 5+ years of production experience working with Knowledge Graphs
• Strong proficiency in Python, LangChain, LangGraph, and SQL
• Experience deploying GenAI systems on AWS / Azure / GC

Mandatory Knowledge Graph Expertise:

• Design and scale enterprise Knowledge Graph architectures
• Develop ontologies, taxonomies, and semantic data models
• Implement entity resolution, relationship extraction, and graph enrichmen
• Experience with 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

How to Apply

Please send us your updated CV to [Confidential Information] with job ID 74257 in the email subject line.