Senior AI Engineer- Graph Data Science

4 - 7 years

18 - 30 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Role: Principal/ Senior AI Engineer- Graph Data Science

  • Location: Hyderabad
  • Experience: 4 - 7 Years
  • Work model- WFO only
  • Notice period: Only 15 days or less

About company:

We are a new-age, AI-first Digital & Cloud Engineering Services company. Our mission is to combine deep engineering expertise with automation-first thinking and AI-native execution to help clients achieve more with speed, precision, and measurable impact. We work at the intersection of automation, AI, and agile engineering to deliver scalable, high-performance solutions that enable businesses to move faster and operate smarter.

Role Overview

We are seeking an experienced

Principal / Senior AI Engineer – Graph Data Science

to lead the design, development, and integration of AI-powered solutions leveraging graph databases. This role will involve working with advanced AI frameworks, graph database APIs, and tooling to create scalable and intelligent applications. The ideal candidate will have a strong foundation in Python programming, graph data modeling, and Generative AI, along with the ability to deliver robust, production-ready solutions in a collaborative, fast-paced environment

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Roles & Responsibilities

  • Develop and maintain Python ecosystem/API integrations for graph databases.
  • Implement GraphRAG solutions for graph database applications.
  • Configure and manage MCP server for graph database operations.
  • Integrate AI tooling such as LangChain, LlamaIndex, and Named Entity Recognition (NER) modules.

Requirements

  • Strong proficiency in Python and Graph Databases.
  • Hands-on experience in building Generative AI applications.
  • Familiarity with AI frameworks, APIs, and data integration pipelines.
  • Ability to work in a fast-paced, innovation-driven environment.
Skills: graph databases,data science,ai/machine learning/neural network,python and graph databases,generative ai applications,ai frameworks, apis, and data integration pipelines

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