Software Engineering Intern (Open Source AI Tools)
Build open-source AI developer tools with us, starting with DeployReady. Real issues, real pull requests, real users.
You'll work on
- Take issues from report to merged pull request in DeployReady and our other open-source tools
- Build AI-assisted features with LLM integrations (Claude, OpenAI, and local models)
- Write the tests and docs that make a tool trustworthy
- Triage GitHub issues and help users who get stuck
You'll learn
- Production-grade TypeScript and Node.js
- How static analysis works, and how to add a check to a scanner
- Designing LLM features that are safe, cheap, and testable
- The open-source workflow: issues, reviews, releases
A good fit if
- Studying computer science or software engineering, or self-taught with projects
- JavaScript or TypeScript basics
- You've built something with AI, even a small side project
Compensation: Varies by placement
Some placements are paid, others are unpaid academic placements or supported by external funding. It depends on your location, your university's requirements and the agreement, and is confirmed in writing before you accept.
Your mentor: A software engineer on the DeployReady team

