Job highlights

- Location: Bengaluru - 3 Days WFO. Employment Type: Full Time.
- Experience with Neo4j,Amazon Neptune,or similar graph databases
- Skills. experience
- Experience Level: Principal
- . 8-13 years. of experience in ML / AI systems

New Job

Job Details

Job Title*

74257 - Principal Gen- AI Engineer ( Knowledge Graph)

Client Budget *

45 lacs

Job Start Date

States*

Karnataka

Location* (Location with city or zip code)

Bengaluru

Client Name*

Turing

Client Manager*

Vinal

Priority*

High

Placement Fee Percentage*

5-15%

Placement Type*

Fulltime

Skills experience*

8+

Primary Skills*

Knowledge graph, python, semantic

Organizational Information

Number of Positions*

1

Business Leader (L1)*

Priety Priyanka

Assigned To*

Irtiqua,

Account Manager (L2)

Team Lead (L3)

Shubham bhatnagar

*

Attached Below

Post Job on Career Portal (Yes/No)

Principal GenAI Engineer Knowledge Graph & Semantic Systems

Location: Bengaluru - 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 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
- Solid proficiency in Python, LangChain, LangGraph, and SQL
- Experience deploying GenAI systems on AWS / Azure / GCP

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 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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