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Pune metro and a popular AI title raise applicant density despite niche LLM/Azure specialization.
Highly specialized LLM, RAG, and Azure-focused skills limit cross-industry transferability.
Multiple mandatory skills (Azure OpenAI, RAG, vector search, security) and seniority create strict shortlisting filters.
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Build and manage secure, large-scale enterprise AI search and retrieval systems using Azure AI Search and Azure OpenAI.
Design and optimize indexing, semantic ranking, prompt engineering, and retrieval methods to improve relevance, accuracy, and reduce hallucinations in responses grounded in enterprise data.
Lead backend platform engineering including API development, scalability, security implementation, and observability for AI-powered search services.
Strong proficiency in Python and backend engineering (Java also preferred).
Hands-on experience with large language models (LLMs), prompt engineering, and Azure OpenAI SDKs/APIs.
Experience with enterprise document platforms and building AI search using Retrieval-Augmented Generation (RAG), vector search, and hybrid keyword/vector indexing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and leading enterprise RAG AI search platforms with a deep understanding of retrieval patterns, security models, and compliance requirements.
Proficient in cloud-native service design focusing on scalability, resiliency, and observability of AI systems.
Capable of mentoring engineers and influencing AI architecture decisions in complex, regulated enterprise environments.