Both roles help you use AI, but they work at different levels. Picking the wrong one means paying for skills you do not need — or hitting limits the role cannot solve.
The AI automation specialist
Works mostly with existing tools and platforms: no-code/low-code automation tools, CRM and help-desk automations, and AI features built into software you already use.
- Connects apps (forms, CRM, email, spreadsheets)
- Adds AI steps such as summarising, classifying or drafting replies
- Builds quickly with minimal code
The AI engineer / developer
Writes and maintains code to build custom AI systems.
- Builds APIs, back-ends and custom integrations
- Creates document assistants, agents and AI features inside your products
- Handles security, scaling, testing and monitoring
Comparison
| Automation specialist | AI engineer | |
|---|---|---|
| Main tools | Automation platforms, built-in AI features | Python/Node.js, APIs, databases, cloud |
| Speed for simple workflows | Very fast | Fast |
| Complex or custom logic | Limited | Strong |
| Scale & security | Depends on platform | Designed in |
| Running costs | Platform subscriptions per task | Hosting + API usage |
| Best for | Internal workflows, small teams | Customer-facing features, high volume |
Choose an automation specialist if…
- Your needs are internal workflows between common SaaS tools
- Volumes are modest
- You want results this week
Choose an AI engineer if…
- You need AI inside your website, app or product
- You integrate with ERPs, custom databases or marketplaces
- Automation platform fees are growing with volume
- Security and data control matter
The hybrid approach
Many companies start with automation tools to prove value, then bring in a developer to rebuild the most important, high-volume workflows as robust custom systems.
Ready to move beyond off-the-shelf automations? Hire an API integration developer or a Python developer.