We are looking for an AI RAG Engineer who can build and scale the data and retrieval layer powering AI agents and intelligent applications. The role will focus on designing databases, data pipelines, and RAG architectures that enable agents to securely access, retrieve, and use enterprise knowledge.

You will work closely with AI/ML engineers, solution architects, and business teams to convert structured and unstructured enterprise data into reliable, searchable, and AI-ready knowledge.

What will you do?
Design and build database architectures supporting AI agents and RAG-based applications.
Build and maintain Retrieval-Augmented Generation (RAG) pipelines across multiple enterprise use cases.
Develop data ingestion pipelines to bring data from databases, APIs, documents, knowledge repositories and other enterprise sources into AI-ready stores.
Design and manage vector databases/vector search, embeddings, metadata and document chunking strategies.
Implement hybrid retrieval approaches combining semantic, keyword, and structured database search.




Develop data models and retrieval frameworks that allow multiple AI agents to securely access relevant knowledge.
Optimize query performance, indexing, retrieval accuracy, and scalability.
Build mechanisms for data freshness, versioning, access control, and source traceability.
Work with AI/ML teams to evaluate and improve retrieval quality, relevance, and grounding of AI responses.
Establish data governance, security, and permissioning for enterprise knowledge used by AI agents.
Monitor database and RAG performance and troubleshoot data, retrieval, and pipeline issues.
Contribute to the design of reusable data and RAG components that can support multiple agents and use cases.

What will you need?

Must-have skills
3–6 years of experience in database engineering, data engineering, or a closely related role.
Robust experience with SQL and relational databases such as PostgreSQL, MySQL, or SQL Server.
Hands-on experience with

📌 AI RAG Engineer (Gurugram)
🏢 WPP Production India [Studios]
📍 Gurugram