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Tier-1 brand, mid-level (3–5 yrs) role in Bangalore with visible AI focus increases applicant competition.
Specialized Azure AI stack and agentic LLM framework requirements make cross-industry fit highly sensitive.
Multiple mandatory Azure/LLM technical skills, AI-102 certification and 3–5 year requirement imply high shortlisting strictness.
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Develop and maintain AI/ML solutions using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and manage RAG, Agentic Frameworks (LangGraph, LangChain, CrewAI), and LLMOps & Evaluation tools such as LangSmith and RAGAS.
Utilize Azure Function Apps and Logic Apps to build scalable serverless workflows and integrate AI services.
3-5 years of professional experience in AI/ML development and engineering.
Bachelor of Engineering (BTech/BE) degree mandatory.
Proficiency in Python programming with 3+ years of experience.
Certification AI-102 and hands-on experience with Microsoft Azure PaaS services including Azure AI Stack mandatory.
Experienced in building AI solutions leveraging Azure cloud-native AI services with operational ownership of AI/ML pipelines.
Familiar with Agentic AI frameworks and LangChain ecosystem indicating advanced expertise in LLM orchestration and evaluation.
Comfortable working in a senior associate role contributing to product innovation and digital transformation in advisory or consulting environment.