We're hiring for leverage, not years. If you can wield agentic coding tools better than most senior engineers — and you've shipped real, working software with them — we want to talk, regardless of how long you've been doing this or where you learned it. This role is designed for someone earlier in their career who, armed with the right tools and the judgment to use them, delivers like someone far more senior.
You'll work across the whole stack: a single feature might run from a Drizzle schema change, through a Hono endpoint, to a new React screen. The agentic toolchain is how you cover that ground — but the judgment to review, verify, and take responsibility for what the tools produce is what makes it work.
What you'll work on
Full, thin vertical slices — backend to frontend — shipped behind previews and a merge queue.
Extending and hardening our agentic-dev toolchain: skills, workflows, and MCP servers the whole team relies on.
Whatever's highest-leverage that week — you'll move across the codebase more than most.
Tech you'll work with
The full stack — TypeScript, Hono, Drizzle/Postgres, AWS serverless, React 19 + TanStack — plus the agentic toolchain: Claude Code / Cursor / Codex (or your tool of choice), MCP servers, custom skills and slash commands, multi-agent workflows, and git-worktree-based parallel dev.
What we're looking for (the part that matters most)
Demonstrated, shippable output built with agentic tools. A portfolio, GitHub, or side projects that actually work — this counts more than any credential.
Deep, hands-on control of at least one agentic coding tool: you write your own skills and commands, build MCP servers, orchestrate multi-agent work, engineer context deliberately, and know precisely when to trust the model and when to verify.
The judgment to review AI-generated code critically. You catch the subtle bug the model slipped in, and you can explain why it's wrong — you don't merge what you can't stand behind.
Solid fundamentals and real debugging chops. When the agent gets stuck, you don't.
Curiosity across the stack. You're comfortable being full-stack precisely because these tools extend your reach.
Explicitly not required
A specific degree, a specific number of years, or prior big-company experience.
Having already worked in every technology above — we care that you can learn fast and verify well, not that you've memorized our stack.