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Metro mid-level fullstack title and generalist demand raise competition, AI skills slightly moderate density.
Role needs .NET fullstack and agentic AI expertise, making skills transferable but favoring AI-capable engineers.
Explicit 2–4 year requirement plus mandatory .NET, agentic AI/LLM and specific tooling increases screening rigidity.
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Design, develop, and maintain scalable web applications using C#, .NET, and front-end technologies (Angular/React).
Build and integrate AI-powered agentic systems including autonomous workflows, copilots, and multi-agent frameworks using LLMs and orchestration tools.
Collaborate cross-functionally for feature delivery, API/microservices development, database optimization, and maintain code quality via testing and reviews.
2–4 years of experience in full stack development with C# and .NET (ASP.NET, .NET Core).
Bachelor’s degree in Computer Science, Engineering, or related field.
Hands-on experience in Agentic AI development including AI agents, LLMs (OpenAI, Azure OpenAI, Anthropic), prompt engineering, and orchestration frameworks (LangChain, Semantic Kernel, AutoGen or similar).
Proficiency in SQL (MS SQL Server, MySQL) and NoSQL (MongoDB, Cosmos DB) databases, RESTful API design, and front-end frameworks (Angular/React).
Experienced in building AI-driven autonomous workflows or agents integrated with enterprise applications, demonstrating applied knowledge of generative AI and orchestration frameworks.
Comfortable working in a fast-evolving tech environment combining software engineering fundamentals with emerging AI technologies.
Possesses strong problem-solving skills and collaborates effectively across teams to deliver scalable, maintainable solutions in healthcare or enterprise contexts.