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Tier-1 employer, metro location and common 3-5 year mid-level role increase qualified applicant competition.
Specialized LLM, Azure and RAG skills moderately limit cross-industry transferability.
Mandatory Azure AI, LLMOps, RAG and Python experience creates strict technical filtering.
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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 manage Retrieval-Augmented Generation (RAG) and Agentic AI frameworks such as LangGraph, LangChain, and CrewAI.
Utilize LLMOps and evaluation tools like LangSmith and RAGAS, and work with Azure Function Apps and Logic Apps to support AI product operations.
3 to 5 years of experience in Python programming and Azure AI technologies.
Bachelor of Engineering (BTech/BE) degree mandatory.
Must have experience with Azure AI Stack components, RAG, Agentic Frameworks, and LLMOps tools.
AI-102 certification is mandatory.
Experienced in Azure PaaS services with strong expertise in AI/ML product innovation and delivery.
Proficient in integrating and operating advanced AI frameworks and tools for scalable AI solutions.
Able to leverage multi-cloud environments with preference for candidates familiar with GCP and AWS.