Required Skills & Experience

- Strong hands-on software engineering experience in C# and the .NET ecosystem (.NET Core / .NET Framework), including building and maintaining production-grade applications and/or APIs (e.g., ASP.NET Core, Web API, Entity Framework).
- Solid working experience with Azure DevOps, including Pipelines (CI/CD), Repos, Boards, and Artifacts, for day-to-day development, build, and release management.
- Practical, day-to-day experience using AI coding tools within a .NET/Visual Studio workflow e.g., GitHub Copilot (Visual Studio / VS Code), Cursor, Claude Code, Azure OpenAI Service, ChatGPT/other LLM-based assistants — not just awareness, but demonstrable use in real projects.
- Understanding of prompt engineering fundamentals and how to structure prompts/workflows for consistent, reliable output from AI tools.
- Working knowledge of the broader AI/LLM tooling landscape: code generation,



AI-assisted testing and QA tools, AI-powered code review tools, and documentation/automation tools.
- Familiarity with up-to-date SDLC practices on Azure DevOps: Agile/Scrum boards, branching strategies, automated build/release pipelines, and code review processes (pull requests).
- Strong understanding of software quality fundamentals — you know how to evaluate whether AI-generated code is actually correct, secure, performant, and maintainable, not just “working.”
- Good communication skills, with the ability to document and share AI-workflow learnings with the wider team.
- A pragmatic, product-first mindset: comfortable using AI tools to move fast, while knowing when to slow down and apply careful engineering judgement.

📌 .Net (AI Claude) Developer (Gurugram)
🏢 Espire Infolabs
📍 Gurugram