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Tier-1 brand, mid-level ML role, and Bangalore metro create high candidate competition.
Azure AI, LLMOps and agentic-framework experience is transferable but reasonably specialized across industries.
Explicit 3-5 years, mandatory Azure AI/LLM stack and certification requirements make filters stringent.
Design, code, and test innovative AI/ML applications using Azure AI Stack and advanced frameworks to drive digital transformation.
Develop and operationalize language and agentic AI models leveraging tools such as LangGraph, LangChain, and Azure Function Apps.
Implement retrieval-augmented generation (RAG), LLM operations, and evaluation to enhance AI solution performance and user experience.
3-5 years of professional experience in Python programming and Azure AI Stack technologies.
Bachelor of Engineering (B.Tech/BE) degree is mandatory.
Mandatory skills include AI, RAG, LLM, LangGraph, Microsoft Azure PaaS, and AI-102 certification.
Good-to-have experience with React JS; preferred cloud experience includes GCP and AWS.
Experienced in developing and deploying AI/ML solutions using Microsoft Azure ecosystem with focus on large language models and agentic AI frameworks.
Ability to manage full lifecycle of AI product development from design through evaluation and operationalization in a cloud environment.
Comfortable working in a technology consulting/advisory context supporting enterprise digital transformation initiatives.