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Strong Tier-1 brand, mid-level experience band, and Bangalore location increase applicant density despite niche skill requirements.
Specialized LLM and Azure AI skills transfer within ML-focused roles but less to non-AI domains.
Explicit 3-5 years plus mandatory Azure/LLM/LLMOps skills and AI-102 certification makes shortlisting highly strict.
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Develop and deploy innovative AI/ML solutions using Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Implement and maintain Retrieval-Augmented Generation (RAG), Agentic AI frameworks such as LangGraph, LangChain, CrewAI, and manage LLM operations and evaluations with tools like LangSmith and RAGAS.
Utilize Azure Function Apps and Logic Apps to build scalable AI applications and contribute to digital transformation initiatives.
3-5 years of professional experience in Python programming and Azure AI technologies.
Bachelor of Engineering (B.Tech/BE) degree mandatory.
Mandatory skills include AI, RAG, LLM, LangGraph, Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, Vision, and Azure Function Apps.
Certification AI-102 is mandatory.
Experienced in leveraging advanced AI/ML frameworks and agentic AI technologies within cloud environments, particularly Azure.
Possesses strong proficiency in Python and Azure PaaS to drive end-to-end AI solution development.
Familiarity with complementary cloud platforms (GCP, AWS) and modern development practices enhances fit, but primary expertise should be in Azure AI and associated tools.