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Strong brand, popular mid-level backend title, metro markets, and AI exposure increase applicant density.
Moderately transferable; .NET and Azure skills are widely applicable but GenAI exposure narrows fit.
Explicit 4-8 years and mandatory .NET/Azure/AI exposure make filters strict.
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Design, develop, and maintain scalable backend applications using .NET Core / .NET Framework, C#, and RESTful APIs.
Integrate AI/ML models and Generative AI (Azure OpenAI, GPT) services into enterprise applications for intelligent automation and insights.
Collaborate with cross-functional teams to deliver cloud-native solutions on Microsoft Azure, ensuring performance, scalability, security, and support CI/CD deployment.
4-8 years of overall software development experience, with at least 1-2 years of exposure to AI/ML or Generative AI use cases.
Proficient in C#, .NET Core / ASP.NET, Web APIs, Entity Framework, and SQL Server (design, optimization, queries).
Experience with Microsoft Azure services including App Services, Functions, Storage, Azure SQL, and CI/CD pipelines (Azure DevOps or GitHub Actions).
Working knowledge of AI/ML concepts (classification, NLP), generative AI models, and prompt engineering; integration via REST APIs or SDKs.
Experienced in designing and deploying cloud-native backend systems on Azure integrating AI/ML capabilities for business solutions.
Comfortable working in Agile/Scrum teams with cross-functional collaboration including product owners and architects.
Familiar with microservices architecture, event-driven systems, security best practices, and modern DevOps tooling on Azure platforms.