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Tier-1 brand, mid-level AI role, metro location, and broad in-demand Azure/LLM skillset.
Specialized Azure AI stack, LLMOps, and agentic frameworks make domain-specific background strongly preferred.
Explicit 3–5 years plus mandatory Azure AI, LLMOps and agentic frameworks creates strict technical filters.
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Develop and maintain software solutions using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision to drive digital transformation.
Implement and manage RAG, Agentic Frameworks such as LangGraph, LangChain, CrewAI, and LLMOps & Evaluation tools like LangSmith and RAGAS for AI/ML applications.
Utilize Azure Function Apps and Logic Apps for application development and integration, ensuring high quality and scalable AI-driven solutions.
3-5 years of experience in Python programming and Azure AI technologies including AI RAG and LLM-related frameworks.
Bachelor of Engineering (BTech/BE) degree is mandatory.
Certification AI-102 is required.
Experience with Microsoft Azure PaaS and familiarity with Agentic Frameworks and Azure AI Stack products.
Strong expertise in Azure AI services and frameworks indicating ability to handle cloud-native AI solution development.
Experience working with RAG, Agentic AI frameworks, and LLMOps toolchains showing hands-on experience in advanced AI/ML engineering.
Background in software development lifecycle with emphasis on AI integration, indicating capability to deliver operational AI applications in an enterprise environment.