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Niche LLM and Azure AI Search specialization limits applicants but AI roles stay in demand.
High sensitivity due to enterprise RAG, Azure OpenAI specialization and security/governance requirements.
Many mandatory specialized LLM, Azure, security, and backend engineering requirements raise screening strictness.
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Build and secure large-scale enterprise AI document search and retrieval platforms using Azure AI Search and Azure OpenAI.
Design and implement retrieval-augmented generation (RAG) systems with vector and hybrid search optimizing relevance and reducing hallucinations.
Lead backend platform engineering integrating search, retrieval, and LLM calls with strong security, governance, and observability features.
Strong proficiency in Python; backend engineering experience with Java or Python mandatory.
Hands-on experience with Azure OpenAI SDKs, APIs, and deployment on cloud infrastructure.
Experience with enterprise-scale document repositories, Azure AI Search (index design, hybrid search), and generative Q&A summarization.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and leading enterprise RAG AI search platforms with advanced retrieval and security models.
Capable of influencing AI architecture decisions balancing accuracy, explainability, compliance, and cost.
Skilled in mentoring engineers and integrating AI search solutions into internal enterprise applications.