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Tier-1 brand plus mid-level role but niche LLM specialization limits applicant pool.
Specialized LLM, Azure AI stack, and LLMOps skills restrict cross-industry transferability.
Explicit 3–5 years plus mandatory Azure AI/LLM, LLMOps and RAG skills make screening strict.
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Develop and deploy AI-driven software solutions using Azure AI Stack (including Foundry, ML, AI Search, Document Intelligence, Vision) to enhance digital transformation.
Implement and manage RAG and agentic framework architectures such as LangGraph, LangChain, CrewAI, and support LLMOps and evaluation with tools like LangSmith and RAGAS.
Utilize Python programming skills and Azure infrastructure components (Function Apps, Logic Apps) to design, code, and test innovative applications.
3-5 years of professional experience in Python programming and AI-related Azure services.
Bachelor of Engineering (BTech/BE) degree required.
Must have hands-on experience with Azure AI Stack and related AI frameworks specified (RAG, Agentic Frameworks, LLMOps).
Preferred experience with cloud platforms: Azure, GCP, AWS.
Experienced software engineer with a focus on AI and cloud-native application development using Azure AI services.
Demonstrates capability in integrating multiple AI frameworks and operationalizing large language models with strong backend development skills in Python.
Comfortable working on cutting-edge AI-driven product innovation in advisory services, with exposure to multi-cloud environments desirable.