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Tier-1 employer, metro location and mid-level 3-5yr AI role increase qualified applicant density.
Specialized Azure AI and LLM tooling favor AI/cloud backgrounds but skills remain transferable across industries.
Explicit 3–5 years and mandatory Azure AI/LLM tooling requirements enforce strict filters.
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Develop and implement AI solutions using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision to enhance client operational efficiency.
Utilize Python programming and AI frameworks such as RAG, LangGraph, LangChain, and CrewAI for AI solution development and integration.
Manage AI lifecycle operations including LLMOps and evaluation using tools like LangSmith and RAGAS, and build Azure Function and Logic Apps.
3 to 5 years of experience with Python programming and Azure AI technologies.
Mandatory skills: AI, RAG, LLM, and Agentic frameworks (LangGraph, LangChain, CrewAI).
Mandatory education: Bachelor or Master of Engineering, or B.Tech/MBA/MCA.
No work visa sponsorship or government clearance required.
Experienced with multiple cloud platforms preferred (Azure, GCP, AWS) enhancing versatility in AI engineering.
Familiar with AI lifecycle management, including deployment and evaluation of large language models and agentic AI frameworks.
Ability to deliver AI-powered business application consulting services with a focus on operational optimization and client outcome impact.