Hire a remote AI engineerGet AI built the right way
Imagine this: an experienced AI engineer who works remotely full time for your company, building, testing and integrating AI models into your existing software. That way you bring technical AI knowledge in-house without having to give anyone a desk at the office.
Post your job for free, online within 2 minutes.
What an AI engineer builds for you
How much does it cost to
remote AI engineer?
With a freelance AI engineer you often work on a project basis and for a limited number of hours a week, and an external agency charges project management costs on top of that. At Remote Opus you hire a full-time AI engineer remotely starting at 1,295 euros per month.
| Freelancer | Agency | Opus | |
|---|---|---|---|
| Hours p/week | 16 hours | 8 hours | 40 hours |
| Monthly amount | € 2,250 | € 1,950 | € 1,295 |
Your AI engineer is fully onboarded into your codebase, data and systems, even though the specialist works remotely. Because the specialist is available full time, there is time left for related tasks such as cleaning up datasets or writing documentation. That way you get more out of AI in your software than one single implementation.
Why an AI engineer hire remotely?
Getting AI functionality stably into production calls for ongoing technical attention, not a one-off project. A full-time remote specialist follows that process every day, going deeper than a freelancer who joins for each assignment.
Technical depth without a desk at the office
Your AI engineer works remotely, but is fully embedded in your team and systems, so the knowledge about your AI solutions doesn't disappear as soon as a project is finished.
Experiences of clients
who outsourced their growth
All our specialists are trained in AI
Every Opus specialist works with the latest AI tools every day. That way you optimize your processes, run your operations more efficiently and get more work done in the same amount of time. You don't just get better results from AI solutions in your software, you make your entire way of working smarter and faster.
- Smarter and faster processes through AI
- More efficient business operations
- More work done in the same time
Your team, worldwide
We have offices worldwide where international top talent works for your company. Every specialist becomes fully immersed in your organization, while we take care of the daily floor management at our offices.
Frequently asked questions about
Hire a remote AI engineer
A full-time AI engineer through Remote Opus costs a fixed monthly amount starting at 1,295 euros per month. No agency fees or long-term contracts.
After a match of around 14 days, the specialist gets straight to work on AI solutions for your software.
Yes, the specialist becomes part of your team and you direct the work yourself, even though they work remotely. We take care of coaching, contracts and payroll administration.
Expect working AI functionality in your software and clear reporting on performance and next steps, without hard guarantees on numbers.
Yes, for example cleaning up and structuring datasets, writing technical documentation or maintaining API integrations.
No, your AI engineer works with the same tools as a team in the office and reports just as transparently, so in practice the distance makes no difference.
Yes, think of Python, common AI frameworks, cloud platforms and the APIs your current software already uses.
Ready to scale?
Post your job for free today and we will match you with international top talent. You only pay when you hire someone.
Directly schedule your introduction
Pick a time that suits you. We'll discuss which AI application delivers the most for your software.
This is how your AI engineer approaches it
This is how your AI engineer builds working AI solutions step by step.
Technical intake
The specialist maps out which data, systems and APIs are available and where AI adds the most value.
Building and training the model
Your AI engineer then builds and trains the model and tests it on your own data.
Integration and monitoring
You get clear reporting on performance, after which the model is integrated and monitored further.
