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AI Engineer

Medline
Pune, Maharashtra, India
On-site

About this role

Job title: AI Engineer

About the Role AI Solutions Engineer to design, build intelligent apps, and operationalize AI-powered search experiences and autonomous/assisted agents using Microsoft’s AI ecosystem.

What You'll Do

  • Design and implement end-to-end AI search and agent systems that scale across Medline’s solutions.
  • Build ingestion pipelines, chunking, and metadata enrichment for feeding AI models.
  • Leverage Azure OpenAI Service, Azure AI Search, and Azure Machine Learning to develop Retrieval Augmented Generation (RAG) pipelines and intelligent experiences.
  • Work with Azure cloud services (App Service, AKS, Key Vault, Monitor, DevOps) and monitor performance (latency, token optimization, embeddings, caching).
  • Implement prompt engineering strategies and optimize embeddings for quality and efficiency.
  • Collaborate with teams to operationalize AI-powered search experiences and autonomous/assisted agents using Microsoft AI tools.
  • Integrate Power Platform (Power Automate) for workflow automation.

What We're Looking For

  • 7-10 years of full-stack experience in the .NET ecosystem.
  • 2-4 years of hands-on AI engineering experience.
  • Experience with Azure OpenAI Service, embeddings, and Azure AI Search (vector/hybrid search, reranking).
  • Experience with Azure Machine Learning and Retrieval Augmented Generation (RAG) pipelines.
  • Proficiency with Power Platform, specifically Power Automate.
  • Nice to have: Microsoft Graph API & M365 integration; Foundry.
  • Strong understanding of Azure cloud architecture (App Service, AKS, Key Vault, Monitor, DevOps).
  • Strong engineering skills, performance tuning, and prompt engineering.
  • Excellent collaboration and communication abilities.

Nice to Have

  • Microsoft Graph API & M365 integration
  • Foundry

Compensation & Benefits

  • Salary information not disclosed in the posting.
  • Medline India emphasizes a Great Place to Work-certified culture (May 2023 – May 2024) with opportunities to learn, contribute, and grow within a highly empowered team.

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