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Strong Tier-1 brand, metro location, and mid-level role increase applicant density despite specialized AI skill requirements.
Specialized Azure AI, LLMOps and agentic-framework expertise reduces portability across industries.
Mandatory Azure AI stack, Python, LLMOps, RAG and explicit 3–5 years requirement drive strict screening filters.
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Develop and implement AI/ML solutions on Microsoft Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Utilize Python programming (3+ years) to design, code, and test applications integrating RAG, Agentic frameworks (LangGraph, LangChain, CrewAI), and LLMOps & Evaluation tools (LangSmith, RAGAS).
Leverage Azure Function Apps and Logic Apps to deliver scalable AI-driven products and digital transformation initiatives.
3-5 years of professional experience in AI/ML engineering or related fields.
Bachelor of Engineering (BTech/BE) degree required.
Proficient in Python programming with at least 3 years experience.
Mandatory skills include Azure AI Stack (Foundry, ML, AI Search, Document Intelligence, Vision), AI RAG, Agentic frameworks (LangGraph, LangChain), LLM Ops & Evaluation, Azure Function Apps, Logic Apps, and AI-102 certification.
Experienced in building and managing AI solutions specifically on Microsoft Azure PaaS environments with strong hands-on in Agentic AI frameworks.
Comfortable operating across AI-related DevOps and evaluation tools (e.g., LangSmith, RAGAS) demonstrating ability to integrate and optimize AI pipelines.
Has a solid foundation in software engineering practices with a focus on cloud-native AI/ML product development and deployment.