Opportunity status
Review workflow for this opportunity; separate from application submission.
Application
Submission lifecycle is authoritative and independent from opportunity and document status.
No application has been started.
Fit assessment
Ranking information supplied by the intake/ranking workflow.
Rule version 9: Skills and responsibilities 51/100. Requirements 100/100. Compensation 60/100.
Hard gaps
None identified
Soft gaps
- React expertise is mentioned, but the candidate profile does not establish it.
- Angular expertise is mentioned, but the candidate profile does not establish it.
Scoring rule version 9 · Sep 29, 2026 1:40 AM
Skills and responsibilities: 51/100
Weight 50% · Matched: C#, .NET, ASP.NET, backend, enterprise applications, Git, Azure DevOps, .NET Framework, ASP.NET Core, Code reviews.
Requirements: 100/100
Weight 31% · No recorded hard gaps.
Compensation: 60/100
Weight 19% · Compensation is missing; the role remains eligible with a reduced score.
Job description
Source description retained as received.
We are looking for a Lead .NET AI Developer to drive the design and development of modern cloud-native applications powered by Generative AI technologies. This role combines deep expertise in the Microsoft ecosystem with hands-on experience building AI-enabled solutions and mentoring engineering teams. You will lead the development of scalable ASP.NET services on Microsoft Azure, leverage AI-assisted engineering tools, and contribute to the delivery of innovative solutions that integrate GenAI capabilities into enterprise applications. While the primary focus is backend development, the ideal candidate should also be comfortable taking fullstack tasks using React or Angular. Responsibilities Lead the design, development, and delivery of enterprise-grade applications using C# and .NET technologies Implement scalable ASP.NET Core and Web API solutions on Microsoft Azure Drive adoption of modern software engineering practices, including CI/CD, cloud-native architectures, and DevOps automation Develop and integrate Generative AI capabilities into business applications Collaborate with architects, product owners, and cross-functional engineering teams to define technical solutions Guide technical decisions, conduct code reviews, and mentor engineers Contribute to frontend development activities using React or Angular when required Build secure, resilient, and highly performant distributed systems Optimize development workflows through AI-assisted engineering practices utilizing GitHub Copilot, Cursor, and LLM-based solutions Requirements Strong expertise in C# and .NET (.NET Core and .NET Framework) Hands-on experience with ASP.NET Core, Web API, and service-oriented architectures Proven experience developing applications on Microsoft Azure Experience building and managing Azure DevOps CI/CD pipelines Deep understanding of software design principles, testing practices, and modern development methodologies Practical experience using GitHub Copilot and/or Cursor as part of the software development lifecycle Hands-on experience developing Generative AI applications Understanding and practical application of Model Context Protocol (MCP)
Status history
Append-only record of workflow changes.
Skipped
Sep 29, 2026 1:53 AM
New
Sep 28, 2026 9:09 PM
Created by API intake.