Careers / AI Automation Engineer
AI Automation Engineer
Can you actually build with AI? We're looking for engineers who connect models to real business systems — APIs, webhooks, CRM automation, data pipelines, and end-to-end workflows. Builders, not prompt tourists.
What you'll build
You take an objective, map the systems involved, and ship a working automation — not a slide deck.
- Connect LLMs and AI APIs to CRMs, inboxes, and internal tools
- Design reliable workflows with webhooks, queues, and retries
- Normalize incoming data and trigger the right automated actions
- Prototype agents and assistants that do real work, then harden them
- Instrument and monitor so failures are visible early
- Document what you built so the next person can run it
- Partner with PMs and operators inside a POD to keep delivery moving
What we look for
Knowing AI vocabulary isn't enough. We want people who can make systems work end to end.
- Solid software fundamentals (Python, JavaScript/TypeScript, or similar)
- Hands-on with REST APIs, webhooks, and authentication flows
- Experience wiring AI/LLM APIs, agents, or workflow automation into real products
- Comfort debugging messy integrations (logs, payloads, edge cases)
- Clear written English and habit of documenting decisions
- Self-directed: you research, try, and ship without step-by-step babysitting
How we work
You join a small POD with clear ownership — not a giant org chart. Work stays visible in Basecamp, and delivery beats theater.
Small PODs
Technical, creative, and ops skills sit together around one outcome.
Async-first
Write it down in Basecamp. Updates are clear without endless meetings.
Ship, then improve
Working systems first. Polish and documentation follow close behind.
Apply for this role
Tell us what you've built and how you work. We review applications and follow up with next steps.
- Submit — short form, links to work if you have them
- Review — we look at fit for active POD work
- Conversation — practical next step if there's a match