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Tier-1 employer, metro location, and mid-level ML role increases candidate competition despite niche Azure/LLM specialization.
Specialized Azure AI, RAG, and agentic-LM tooling demand domain-specific experience, reducing cross-industry transferability.
Explicit 3–5 years and mandatory Azure AI, LLMops, and agentic-framework expertise narrow shortlist strictly.
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Develop and implement AI/ML solutions using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision to support digital transformation projects.
Work on integrating and operationalizing advanced frameworks such as RAG, LangGraph, LangChain, CrewAI, and tools like LangSmith and RAGAS for LLMOps and evaluation.
Develop Azure Function Apps and Logic Apps to build scalable, innovative AI-driven applications enhancing business performance.
3-5 years of professional experience specifically in Python programming and Azure AI technologies.
Bachelor of Engineering (BTech/BE) degree mandatory.
Certification AI-102 required.
Hands-on experience with Azure AI Stack components and Agentic frameworks including RAG, LangGraph, LangChain.
Experienced with applying Azure AI PaaS services and agentic AI frameworks to build production-level AI solutions.
Comfortable working in a technology innovation driven environment with a focus on software engineering and digital transformation.
Desirable to have knowledge or familiarity with cloud platforms like GCP and AWS and front-end frameworks like React JS for full-stack development support.