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Tier-1 brand, metro location, and mid-level AI role increase applicant density despite niche agentic/LLM requirements.
ML/AI and Azure-specific agentic skills transfer across industries but require substantive domain experience.
Explicit 4–8 years plus mandatory Azure AI, Python, and LLM/agentic framework skills create strict filtering.
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Develop and maintain AI/ML applications using Python and Azure AI Stack components including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and manage Retrieval-Augmented Generation (RAG) and agentic frameworks such as LangGraph, LangChain, and CrewAI, including LLMOps and evaluation tools like LangSmith and RAGAS.
Build and deploy AI solutions leveraging Azure Function Apps and Logic Apps, contributing to digital transformation initiatives.
4-8 years of professional experience in relevant software development roles.
Minimum 3 years of Python programming experience.
Bachelor's degree (BTech/BE) in any discipline.
Mandatory experience with Azure AI Stack (Foundry, ML, AI Search, Document Intelligence, Vision), RAG, Agentic Frameworks (LangGraph, LangChain, CrewAI), and Azure Function and Logic Apps.
Experienced in cutting-edge AI/ML engineering focusing on Azure cloud services and conversational AI technologies.
Proficient at integrating and operationalizing advanced AI frameworks and tools to enable scalable, production-ready applications.
Comfortable working at a senior associate level contributing to AI product innovation within advisory services.