AI Engineer

Medline India; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Medline India is looking for an AI Solutions Engineer to design and build intelligent applications while operationalizing AI-powered search experiences. The role requires 7-10 years of full stack experience, with a strong focus on AI engineering and expertise in Azure OpenAI Service and Azure AI Search. Responsibilities include performance tuning of AI systems and implementing ingestion pipelines. Solid understanding of cloud architecture is essential. This position is based in Maharashtra, India.

Qualifications

• 7-10 years of overall full stack experience required.
• 2-4 years of experience in AI engineering.
• Must have experience in Azure OpenAI Service and Azure AI Search.

Responsibilities

• Design and build intelligent apps and AI search experiences.
• Implement ingestion pipelines and chunking.
• Optimize performance and latency in AI systems.

Skills

Full stack experience in .Net ecosystem

AI engineering

Azure OpenAI Service

Azure AI Search

Azure Machine Learning

Retrieval Augmented Generation pipelines

Power platform (specifically power automate)

Microsoft Graph API

Foundry

Performance tuning

Job description

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

Core Technical Skills

• Overall 7-10 years of Full stack experience- . Net ecosystem - Must have
• 2-4 Years of experience in AI engineering
• Experience in Azure OpenAI Service, embeddings - Must have
• Azure AI Search (vector search, hybrid search, reranking)- Must have
• Azure Machine Learning -
• Retrieval Augmented Generation (RAG) pipelines with Azure OpenAI Service
• Power platform, specifically power automate - Nice to have
• Microsoft Graph API & M365 integration - Nice to have
• Foundry - Nice to have

Engineering Skills

• Designing end‑to‑end AI search and agent systems
• Implementing ingestion pipelines, chunking, metadata enrichment
• Understanding of Azure cloud architecture (App Service, AKS, Key Vault, Monitor, DevOps)
• Performance tuning (latency, token optimization, embeddings, caching)
• Prompt Engineering