Position: Python AI Engineer
Job Type: Contract To Hire(C2H)
Experience: 34 Years
Location: Pune
Interview Mode: Unberry Assessment, Technical Interview (F2F)
Role Summary
We’re looking for an engineer who can build production backend services and design/operate Retrieval-Augmented Generation (RAG) and agentic AI systems on Microsoft Azure. This is a hands-on role spanning API development, cloud data pipelines, and LLM-powered conversational agents—not a pure research or pure DevOps role.
Key Responsibilities
- Design, build, and maintain backend services using Python/FastAPI or equivalent.
- Integrate backend services with multiple upstream AI/chat systems via REST APIs.
- Build and tune retrieval pipelines on Azure AI Search, including indexing strategies, chunking, embeddings, hybrid/semantic search, and relevance evaluation.
- Design, configure, and evaluate AI agents using Microsoft Azure AI Foundry Agent Service or equivalent LLM agent/orchestration frameworks.
- Ground AI agents in enterprise knowledge sources with citations.
- Set up and manage Azure infrastructure, including Blob Storage data pipelines, API Management as an AI/API gateway, Managed Identities, RBAC, and Log Analytics for usage and cost monitoring.
- Evaluate new platform capabilities by distinguishing GA and preview features and assessing production readiness, support, and SLA implications.
- Communicate technical trade-offs clearly to stakeholders.
- Own end-to-end quality and test retrieval accuracy using realistic query patterns, including multi-part and comparison-style questions across large content catalogs.
- Write clear technical documentation covering architecture decisions and integration contracts for technical and non-technical stakeholders.
Required Skills & Experience
- Robust Python backend development experience.
- Experience with REST API design, async programming, and frameworks such as FastAPI or similar.
- Experience with Flask/Django is acceptable when combined with
📌 Python AI Engineer (Pune)
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📍 Pune