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Tier-1 brand, Bangalore metro location, and mid-level experience increase competition.
Specialized Azure AI/LLM/MLOps and agentic frameworks make cross-industry transferability low.
Explicit 4-8 years plus mandatory Azure AI/LLM/MLOps and Python skills create strict filters.
Develop and maintain AI/ML solutions leveraging Python and Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and manage Retrieval-Augmented Generation (RAG) and Agentic AI frameworks such as LangGraph, LangChain, and CrewAI.
Operate and evaluate Large Language Model operations (LLMOps) using tools like LangSmith and RAGAS, along with Azure Function Apps and Logic Apps.
4 to 8 years of professional experience in software development or AI/ML engineering with 3+ years specifically in Python programming.
Mandatory proficiency with Azure AI Stack technologies (Foundry, ML, AI Search, Document Intelligence, Vision) and Agentic AI frameworks (LangGraph, LangChain, CrewAI).
Bachelor of Technology (BTech) or Bachelor of Engineering (BE) degree is required.
Notice period and work location requirements: Not explicitly mentioned in the JD.
Experienced with large-scale AI/ML deployments on cloud platforms, particularly Microsoft Azure.
Strong operational and evaluation skills in AI-driven application lifecycle, focusing on cutting-edge frameworks for Conversational AI and agentic systems.
Comfortable working in advisory or consulting environments, handling complex AI integration and innovative solution delivery.