Job highlights

- 8-10 years experience with expertise in LLM, RAG, AWS, AI agent engineering
- Design and build enterprise data applications using LLMs, RAG, APIs, and cloud platforms; automate data workflows and reporting

Role: Ai data engineer keywords: LLM, RAG, AWS, ai agent Experience: 8 to 10 years

Location: Chennai, Kolkata, Hyderabad, bangalore,Pune, Delhi

Role & responsibilities

Large Language Models (LLMs), prompt and context engineering, Retrieval-Augmented Generation (RAG), APIs, enterprise data sources, and governed tool execution to automate data, reporting, testing, and operational workflows. build or enhance critical enterprise data applications both on-prem and in the cloud (AWS), leveraging contemporary data platforms such as Snowflake and Starburst.





Hands-on experience using GitHub Copilot and engineering AI agents that combine Large Language Models (LLMs), prompt and context engineering, Retrieval-Augmented Generation (RAG), APIs, enterprise data sources, and governed tool execution to automate data, reporting, testing, and operational workflows.

Successful candidates will possess in-depth knowledge of current and emerging technologies, demonstrate a passion for designing and building elegant solutions, and continuously improve engineering efficiency through responsible, secure, observable, and testable adoption of AI technologies.

📌 Ai data engineer (Hyderabad)
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