Build and extend process workflow automation tools — managing the pipeline from specification to merge, enforcing review gates per risk level.
Design and implement multi-agent collaboration infrastructure — enabling multiple AI agents and humans to work on the same project with isolation, shared state, and handoff protocols.
Integrate AI development workflows with enterprise tools (issue trackers, source control, CI/CD pipelines) — auto-status updates, AI agent assignment, work breakdown.
Develop Markdown-based documentation workflows with review plugins.
Rapidly iterate on tooling based on direct feedback from development teams.
Requirements
Hold a B.Sc. or M.Sc. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
7+ years of industry experience in software engineering with a focus on developer tools, infrastructure, or platform engineering.
Strong software engineering fundamentals — can build reliable, well-tested tooling that others depend on.