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Tier-1 employer, Bangalore location and mid-level experience increase applicant density despite niche LLM/Azure specialization.
Azure AI and LLMOps skills transfer across industries, but platform-specific expertise moderately limits fit.
Explicit 3-5 years and mandatory Azure AI, Python, and LLMOps requirements enforce strict filters.
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Design, code, and test AI/ML applications using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Develop and implement RAG (Retrieval-Augmented Generation) and Agentic AI frameworks such as LangGraph, LangChain, and CrewAI.
Manage LLM operations and evaluation with tools like LangSmith and RAGAS, and build Azure Function and Logic Apps integrations.
3-5 years of relevant experience in Python programming and Azure AI Stack technologies.
Bachelor of Engineering (B.Tech or BE) degree required.
Mandatory certification: AI-102 (Microsoft Azure AI Engineer Associate).
Mandatory skills include AI, RAG, LLM, and LangGraph frameworks.
Experienced in working with cloud AI services primarily on Microsoft Azure PaaS environments.
Proficient in designing and managing AI-driven systems using agentic frameworks and LLM operations.
Familiarity with additional cloud platforms like GCP or AWS is a plus but not mandatory.