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Tier-1 brand, mid-level popular ML role, metro Bangalore, and broad Azure/LLM skillset heighten competition.
Specialized LLM, Azure AI, and agentic-framework expertise reduces cross-industry transferability.
Explicit 4-8 years plus mandatory Azure AI, LLMOps and agentic-framework experience makes filtering strict.
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Develop and maintain AI/ML solutions using Python and Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and evaluate AI agent frameworks such as LangGraph, LangChain, CrewAI, and manage LLM operations with tools like LangSmith and RAGAS.
Build and support cloud integrations using Azure Function Apps and Logic Apps to drive AI-based digital transformation projects.
4-8 years of relevant work experience in software engineering with AI/ML and cloud technologies.
Proficiency in Python programming with at least 3 years of experience.
Hands-on experience with Azure AI services including Foundry, ML, AI Search, Document Intelligence, and Vision.
Bachelor's degree in a relevant field such as B.Tech or BE.
Experience working with advanced AI agentic frameworks and RAG (Retrieval-Augmented Generation) techniques, indicating deep domain expertise in conversational AI.
Comfortable operating in cloud-native environments focused on AI/ML solution delivery using Azure AI Stack and Azure cloud services.
Able to manage end-to-end AI operations including coding, evaluation, and deployment in dynamic advisory or product innovation settings.