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Tier-1 brand, metro location, mid-level ML role and broad Azure/LLM skillset drive high competition.
Specialized Azure AI/LLM toolset and agentic frameworks limit straight transferability across industries moderately.
Multiple mandatory Azure AI, LLM, Python and agentic framework requirements create strict technical filters.
Develop and maintain AI/ML applications using Python and Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and manage Retrieval Augmented Generation (RAG) systems and Agentic Frameworks like LangGraph, LangChain, CrewAI, including LLMOps and Evaluation tools such as LangSmith and RAGAS.
Develop and operate Azure Function Apps and Logic Apps to support AI solutions in advisory domain.
4-8 years of professional experience with Python programming and Azure AI technologies.
Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E.) degree required.
Mandatory skills: Python (3+ years), Azure AI Stack (Foundry, ML, AI Search, Document Intelligence, Vision), RAG, Agentic Frameworks (LangGraph, LangChain, CrewAI), LLMOps & Evaluation (LangSmith, RAGAS), Azure Function Apps, Logic Apps.
Preferred skills: React JS. Notice period or location specifics not explicitly mentioned.
Experienced in integrating multiple AI and ML frameworks with cloud-based Azure services and operationalizing AI models in production environments.
Comfortable working with advanced conversational AI technologies and managing complex AI/ML project workflows using frameworks like Agentic and LLMOps.
Suitable for candidates familiar with advisory industry digital transformation initiatives leveraging AI-driven automation and innovation.