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Tier-1 brand, Bangalore metro, and mid-level ML/AI role increase qualified applicant competition.
Specialized LLM, Azure AI and agentic frameworks limit fit outside AI-focused roles but transfer across tech firms.
Explicit 3-5 years, mandatory Azure AI stack, LLMOps skills, and AI-102 certification make filtering strict.
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Develop, code, and test AI/ML applications using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and manage Agentic AI frameworks like LangGraph, LangChain, and CrewAI for advanced AI solutions.
Operate and evaluate LLMOps platforms such as LangSmith and RAGAS, and develop Azure Function and Logic Apps integrations.
3-5 years of professional experience in Python programming and Azure AI Stack technologies.
Bachelor of Engineering (BTech or BE) degree.
Mandatory certification: AI-102 (Microsoft Azure AI Engineer Associate)
Experience with AI RAG, LLM, and LangGraph frameworks explicitly required.
Strong hands-on experience in AI/ML development within cloud platforms, primarily Microsoft Azure.
Familiarity with emerging Agentic AI frameworks and LLM operational tools showing advanced technical adaptability.
Experience across multi-cloud environments (GCP, AWS) is preferred for strategic versatility.