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Medium — mid-senior AI/.NET role in a metro with moderate brand and niche AI requirements.
Medium — .NET and AI skills are transferable, though enterprise healthcare context adds some specificity.
High — explicit 7–10 years plus 2–4 years AI and mandatory Azure OpenAI/LLM/vector-search skills.
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Design, develop, and maintain scalable full-stack enterprise applications and APIs using .NET and Microsoft Azure technologies.
Integrate AI capabilities including Azure OpenAI Service, LLM integration, prompt engineering, and AI-powered search (Vector Search, Hybrid Search, RAG pipelines) into applications.
Collaborate with product, architecture, and business teams to deliver performance-optimized, secure AI-enhanced solutions.
7–10 years of full stack development experience including strong hands-on .NET ecosystem skills (.NET Core, C#, REST APIs, microservices).
2–4 years of AI Engineering or Generative AI experience with focus on Azure AI services.
Must have experience with Azure OpenAI Service, LLM integration, embeddings/vector search, Azure AI Search (Vector, Hybrid, Reranking), and RAG pipeline development.
Strong experience with Microsoft Azure technologies including Azure App Service, Azure DevOps/CI/CD, Azure Functions, AKS, and secure application development.
Experienced in combining deep .NET full-stack development with practical AI/ML integration using Azure's AI ecosystem.
Able to optimize AI application performance through token, latency, embedding, and caching optimizations.
Familiar with enterprise-level cloud architecture and working closely with cross-functional teams to deliver scalable AI-powered solutions.