Can we hire an AI engineer remotely?

Yes. Set remote or on-site, the country, and the overlap hours on the role. carbon.talent is global. To employ someone in another country without a local entity, use an employer of record.

Post your role free with a company account. You can also test a candidate you already found.

What happens after we post a role?

You see who applied. Review the profile, run the interviews you want, and hire vetted data and AI talent on carbon.talent.

What can we review before an interview?

When they are on the profile: a real-world data experience test, a working-style profile, and a video interview. ID checks are on Team and Scale.

Do you cover contract and permanent hires?

Yes. Permanent, contract, or fractional. You set that on the role, then see who applied.

AI engineer or machine learning engineer?

Hire an AI engineer when the product uses a language model, retrieval, and evaluation of generated answers. Hire a machine learning engineer when you train and serve your own model. Some people do both. The role text should say which one you will ask them to do in the first ninety days.

Are SQL and Python skills tests on these stack pages?

SQL and Python skills tests are on paid plans. On these pages you review a real-world data experience test, a working-style profile, and a video interview when they are on the profile. ID checks are on Team and Scale.

Hire an AI Engineer, Remote or On-Site

What this hire does

An AI engineer ships features that use a language model. The work is retrieval over your own data, a prompt and a tool loop you can version, and an evaluation so a change does not quietly get worse.

In practice they own:

Retrieval. The documents, tables, or tickets the model is allowed to see.
Generation. The model call, the tools, and the failure when the model is wrong or slow.
Checks. A set of examples you rerun before a release, plus a way to inspect what the product said.

This is not a research lab hire by default. Post a research role if that is what you need. Most teams need someone who can put a careful feature in front of users.

When to hire

You probably need this hire when:

A prototype in a notebook is now a feature the company wants to keep.
People paste company data into a public chatbot because there is no internal tool.
You need retrieval over your own documents, with access control.
You cannot tell whether last week's prompt change helped.

If the model is a classical ranking or forecast, see machine learning engineers.

What good looks like

They evaluate. A handful of real examples, scored the same way every release, beats a demo that impressed one meeting.

They limit what the model can see. Retrieval respects the same permissions as the product.

They can turn it off. Timeouts, a fallback, and a human path when the model should not answer.

What to ask

Walk through an LLM feature you shipped. What did you measure before and after?
How do you stop the model answering from data the user should not see?
What did you refuse to automate?

How hiring works on carbon.talent

carbon.talent is a data and AI talent platform. Post a role, see who applied, and hire.

Post a role. Title, stack, seniority, and whether you want permanent, contract, or fractional. Set remote or on-site, the country, and the overlap hours.
See who applied. Open each profile. Review a real-world data experience test, a working-style profile, and a video interview when they are on the profile.
Hire. Interview, agree the terms with the person, and hire on the platform. ID checks are on Team and Scale.

Already found someone? Test a candidate you found, then decide.

Hire remotely, worldwide

Companies post this role from anywhere. You choose where the person is based and which hours they overlap with your team.

Remote, hybrid, and on-site use the same flow. Location is a setting on the role.

Questions companies ask

Can we hire an AI engineer remotely?: Yes. Set remote or on-site, the country, and the overlap hours on the role. carbon.talent is global. To employ someone in another country without a local entity, use an employer of record.
How do we start?: Post your role free with a company account. You can also test a candidate you already found.
What happens after we post a role?: You see who applied. Review the profile, run the interviews you want, and hire vetted data and AI talent on carbon.talent.
What can we review before an interview?: When they are on the profile: a real-world data experience test, a working-style profile, and a video interview. ID checks are on Team and Scale.
Do you cover contract and permanent hires?: Yes. Permanent, contract, or fractional. You set that on the role, then see who applied.
AI engineer or machine learning engineer?: Hire an AI engineer when the product uses a language model, retrieval, and evaluation of generated answers. Hire a machine learning engineer when you train and serve your own model. Some people do both. The role text should say which one you will ask them to do in the first ninety days.
Are SQL and Python skills tests on these stack pages?: SQL and Python skills tests are on paid plans. On these pages you review a real-world data experience test, a working-style profile, and a video interview when they are on the profile. ID checks are on Team and Scale.

Hire AI engineers who ship LLM systems