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Mid-level AI engineer, metro location and common 3–6 year profile with broad skillset, high competition.
Strong Microsoft/Azure and agent-framework specialization reduces cross-industry portability, high background sensitivity.
Multiple mandatory Azure/Microsoft agent stack technologies and explicit 5+ years experience create strict filters.
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Design, build, and manage hosted AI agents using Microsoft Copilot Studio, Azure AI Foundry, and related agentic frameworks (e.g., LangGraph, Langchain, AutoGen, Semantic Kernel).
Develop and maintain APIs (e.g., FastAPI) and integrate AI capabilities across structured and unstructured data sources using Microsoft Fabric, Azure AI Search, and Azure OpenAI (LLMs and embedding models).
Implement and manage authentication and access control systems (Microsoft Entra ID/Azure AD and RBAC) and apply Responsible AI and LLMOps practices including guardrails, performance monitoring, and human-in-the-loop workflows.
Minimum 5 years of relevant work experience in AI engineering or related fields.
Strong proficiency in Python programming and API development (FastAPI).
Experience with Microsoft AI frameworks and platforms: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, LangGraph/Langchain, AutoGen, Semantic Kernel.
Ability to work in a hybrid location setup based in Gurgaon or Noida.
Experienced in deploying AI agents across multiple channels including Microsoft Teams, Microsoft 365 Copilot, and custom web applications indicating ability to handle enterprise-scale AI solutions.
Familiarity with both structured and unstructured data integration and querying in Microsoft ecosystems showing strong domain understanding of enterprise data workflows.
Skilled in implementing authentication and access control within Azure environments along with Responsible AI and LLMOps best practices for secure and compliant AI deployments.