AI Automation Engineer

- Build AI agents, automations, and workflows from intake through launch and maintenance.
- Work directly with stakeholders to clarify the problem, scope the build, and define success.
- Use tools such as n8n, Claude Code, Codex, Cursor, APIs, structured prompts, GitHub, and data workflows.
- Version work in GitHub with clear commits, useful README files, setup notes, and documented assumptions.
- Maintain production automations, including monitoring, alerts, failure handling, and documentation.
- Contribute reusable prompts, skills, runbooks, and patterns to our shared AI & Systems library.
- Keep data hygiene, permissions, credentials, and information security front of mind in every build.

- Hands-on experience shipping real AI systems, agents, or automations, not just demos.
- Strong workflow automation experience in n8n, Make, Zapier, or similar orchestration tools.
- Strong GitHub discipline. Public or shareable GitHub work is required for this process.
- Comfort with AI coding environments such as Claude Code, Codex, Cursor, or equivalent tools.
- Ability to connect APIs, structure data, write lightweight scripts, and debug broken workflows.
- Clear written communication across time zones. You can keep stakeholders informed without meetings for everything.
- Business judgment. You ask what outcome the workflow should create before choosing tools.

Location: Remote, preferred in Mexico, Central America, or South America for Pacific Time overlap.

Employment: Full-time global contractor. Candidates must be able to contract through Deel and physically perform the work from a supported country.

Compensation: USD 48,000 to 58,000 contractor equivalent, depending on experience.

This role needs regular overlap with US Pacific Time so you can work closely with the Head of AI & Systems, plus enough async overlap to support our New Zealand team.