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Tier-1 brand, Bengaluru location, and mid-level (3–5 yrs) experience increase candidate competition significantly.
Specialized Azure LLM/Ops and agentic AI skills are transferable but favor AI-focused teams, so medium sensitivity.
Explicit 3–5 years requirement, mandatory Azure/LLM technical skills and AI-102 certification create high shortlisting strictness.
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Develop and maintain solutions using Python and Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and manage Agentic AI frameworks such as LangGraph, LangChain, CrewAI, and LLMOps & evaluation tools like LangSmith and RAGAS.
Leverage Azure Function Apps and Logic Apps to build scalable AI-driven applications and integrate reactive front-end components (React JS is a plus).
3-5 years of professional experience relevant to AI/ML development and Azure AI services.
Bachelor of Engineering (BTech/BE) degree required.
Proficient in Python programming with 3+ years experience.
Mandatory skills include AI RAG, LLM, LangGraph, and Microsoft Azure PaaS platform expertise; AI-102 certification required.
Experienced in integrating multiple AI and machine learning services on cloud platforms, particularly Azure and optionally GCP or AWS.
Comfortable working with advanced AI frameworks and operationalizing Large Language Models (LLMs) and retrieval augmented generation (RAG) in production environments.
Capable of end-to-end AI solution delivery including backend Azure functions and frontend React JS integration, signaling full-stack AI engineering capabilities.