Role overview
You will combine AI services with business systems to automate operational processes — building assistants and agents that are reliable, observable and safe to run.
This is an evergreen track — a permanently open talent pipeline rather than a dated vacancy. We review applications continuously and open a seat when we meet the right person.
Key responsibilities
- Develop AI-powered workflows for client operations.
- Implement AI assistants and agents with clear boundaries.
- Integrate AI services with business applications.
- Monitor and maintain AI integrations in production.
- Measure time saved and error rates.
Required skills & qualifications
- Experience building automations or integrations in Python or JavaScript.
- Hands-on experience with LLM APIs.
- Understanding of failure handling and human-in-the-loop design.
- Clear documentation habits.
Relevant tools & technologies
- Python
- JavaScript
- LLM APIs
- Workflow platforms
Application process
Send your CV and the work that best shows how you think — links, repos, decks or campaigns. We reply to every application within seven days, and the full five-step process (including a paid working session) is published on the careers page.
Apply for AI Automation Engineer