AI-Native Software Engineer – Trainee

This is a remote position.

• Break small requirements into clear, agent-ready specs with acceptance criteria and test cases. You’ll take on larger features as you grow.
  
• Use AI coding agents such as Claude Code, Codex, Cursor, and Copilot agents to implement work in one or more of these areas: 
  
• .NET / ASP.NET Core APIs, SQL Server, and Angular in the CloudLabs core
  
• Next.js/React front ends, TypeScript APIs, and Python services in product modules
  
• Astro/Next.js and Tailwind for marketing sites and landing pages
  
• Review agent output before raising a pull request. Check that it works, handles edge cases, and doesn’t introduce obvious security problems. Then go through code review with senior engineers and learn from their feedback.
  
• Get agents to write tests (unit, integration, and Playwright end-to-end) and learn to tell a test that proves something from one that just passes.
  
• Build and update marketing pages while keeping each brand’s voice and design consistent. You’ll learn our design system and the basics of technical SEO along the way.
  
• Help build small AI agents and automations that remove manual work across the business.
  
• Note where agents repeatedly go wrong, and help improve AGENTS.md, skills, and templates so they do better next time.
  
• Ship through CI/CD to QA and production on Azure, and help investigate and fix issues after release.
  
• Write clear PR descriptions and short notes on what you built and why.
  

• How to work in a real production codebase with AI agents as your main tool, including how to give them the right context, run them in parallel, and review their work critically.
  
• Full-stack fundamentals in practice, across UIs, APIs, databases, testing, and deployment.
  
• How to review code for correctness, security, and performance.
  
• How a multi-brand B2B SaaS company builds, markets, and sells its products, including design systems, brand voice, and SEO.
  
• Cloud deployment and production operations on Azure
  
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• A good grasp of programming fundamentals in at least one language, such as TypeScript/JavaScript, C#, or Python.
  
• A basic understanding of how the web works, including HTTP, REST APIs, HTML/CSS, and relational databases and SQL.
  
• Hands-on experience using at least one AI coding tool (Claude Code, Cursor, Codex, Copilot, or similar) to build something real, even if it was a personal or college project.
  
• Curiosity about why the agent’s code works, not just whether it runs.
  
• Basic git, including commits, branches, and pull requests.
  
• Clear written English. You’ll write specs, prompts, and PR descriptions every day.
  
• Comfort with feedback. Most of your early work will be critiqued and reworked, and that’s how you’ll learn fastest.
  

• Exposure to React/Next.js, Angular, or ASP.NET Core.
  
• A project with tests, especially Playwright or another end-to-end testing tool.
  
• Something you’ve deployed to the cloud (Azure, Vercel, AWS, or similar).
  
• An eye for design, so you can tell when a page looks generic and know how to improve it.
  
• Experience with LLM APIs, MCP servers, Claude Code skills, or other agent tooling.
  
• Interest in cloud labs, e-learning, developer education, or B2B SaaS.
  

• Your college, degree, or grades. Show us what you’ve built.
  
• Prior job experience. Projects count.
  
• Whether you can write everything without AI. We care that you can understand, judge, and improve what AI produces.