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Tier-1 brand, hybrid role, and a common 'Software Engineer' title increase applicant density despite specialized AI requirements.
Specialized Azure OpenAI, Semantic Kernel, and RAG expertise makes cross-industry transition limited without similar AI product experience.
Explicit 6+ years and mandatory .NET, Azure OpenAI, Semantic Kernel, and security/compliance requirements enforce strict filters.
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Lead design and build of AI applications using .NET, Azure AI, Azure OpenAI with techniques like Retrieval-Augmented Generation and Semantic Kernel.
Own end-to-end solution quality including performance, security, reliability, scalability; implement observability and drive best practices.
Mentor engineers, lead design reviews, collaborate cross-functionally to align with compliance and business objectives.
6+ years experience with .NET technologies including C#/.NET, ASP.NET Core with advanced async, DI, REST APIs, authentication.
Experience with Azure AI, Azure OpenAI (GPT models, embeddings, function calling), Azure AI Search, RAG pipelines, Semantic Kernel (C#).
Proficiency in Azure Infrastructure services such as App Service, Functions, AKS, API Management, Key Vault.
Security and compliance experience including PII handling, data residency, auditability, threat modelling.
Strong technical leadership with ownership of AI-powered .NET service architectures leveraging Azure OpenAI and Semantic Kernel.
Experienced in integrating and optimizing complex AI workflows including multi-tool orchestration, RAG pipelines, and observability setups.
Comfortable driving solution quality end-to-end and mentoring engineers in a collaborative and compliance-focused environment.