About the Role
We’re looking for a high-performing AI Automation Engineer to join our global team. You’ll be responsible for building intelligent workflows using Make.com, Zapier, and GPT-based automations that streamline client operations and scale service delivery.
You’ll work closely with Process Engineers, Project Managers, and the DevOps team to design, implement, and refine prompt-driven and API-integrated systems. This is not an agency or freelance gig — we’re hiring someone who wants to grow with us long-term and own end-to-end automation systems.
Key Responsibilities
- Design and implement AI workflows using Make, Zapier, OpenAI, and other tools
- Build prompt chains and automation logic to solve business problems
- Integrate tools like Slack, Notion, HubSpot, Google Sheets, Airtable, and CRMs
- Use webhooks, APIs, and tokens to automate across apps and platforms
- Monitor and QA automations for performance, accuracy, and edge cases
- Document your workflows clearly for internal teams and clients
- Collaborate closely with non-technical teams to improve and scale processes
- Troubleshoot and debug logic, prompt issues, or tool integration failures
- Create video walkthroughs or step-by-step guides when needed
Success Metrics
- Number of workflows deployed and adopted
- Time saved / manual tasks eliminated for ops teams
- Quality and reliability of automations (uptime, error rate)
- Communication clarity and documentation quality
- Responsiveness and ability to iterate based on feedback
What You’ll Get
- Work-from-home flexibility, no commute
- Long-term career path and upskilling support
- Opportunity to work with cutting-edge AI tools and global teams
- Training and mentorship from senior DevOps + client services team
- Tight-knit, professional culture that values autonomy and growth
How to Apply
To apply, please send:
- Your updated resume
- A short Loom video (2–3 minutes) introducing yourself and sharing:
- Your experience with Make.com, Zapier, or GPT automations
- A brief walk-through of a workflow you’ve built
- Why you’re excited about AI automation and working with a global team
- Send your application to: [Your Email]
- Subject Line: AI Automation Engineer – [Your Name]
Next Step: Paid Test Task (for shortlisted applicants)
If your profile matches, we’ll invite you to complete a technical test task to evaluate your skills in prompt engineering, workflow building, and documentation. You’ll have 72 hours to complete it.
Test Task Overview (Preview)
You’ll be asked to:
- Build a basic automation using Make.com or Zapier
- Integrate Typeform (or Google Form), OpenAI, Airtable, and Slack
- Send a form submission to GPT for analysis, store it in Airtable, and notify a Slack channel if the priority is High
You’ll submit:
- A Google Doc with screenshots, links, and a walk-through
- A sample prompt, Slack logic, and your automation explanation
A link to your live workflow (view-only)
This helps us understand:
- Your logic, structure, and creativity
- Your technical familiarity with GPT, APIs, and automation tools
- Your written communication and ability to document clearly
We use a scorecard to evaluate submissions fairly across criteria like prompt quality, tool usage, API logic, written clarity, and overall hire potential.
Requirements
What We're Looking For
- 2+ years in automation, systems integration, or AI ops
- Proficient in Make.com, Zapier, and OpenAI/GPT usage
- Confident in using APIs, webhooks, and conditional logic
- Experience with tools like Airtable, Notion, Slack, Google Apps, CRMs
- Excellent English verbal and written (you’ll work async + on team calls)
- Organized, accountable, and process-driven
- Fast learner who takes initiative and works independently
- Basic scripting (Python/JavaScript), or experience with LangChain