Hiring offshore AI engineers: what it costs and how it actually works

Staff augmentation is not outsourcing

Outsourcing hands a defined project to a vendor who delivers it their way. Staff augmentation places named individuals into your team who work under your leads, in your repository, on your board. The distinction matters because it decides who owns the architecture, the code review standard and the outcome. In augmentation, you do.

That is also its main failure mode. Companies that use augmentation as a way to avoid managing anyone get exactly what outsourcing gives, without the fixed scope that makes outsourcing work. If nobody on your side is going to review the work, buy a delivered project instead.

What it costs

A full-time dedicated engineer starts from around $1,999 per person per month, varying with seniority and specialisation — an ML engineer with production RAG experience sits at a different point from a mid-level React developer. Against local markets, that is typically a fraction of the fully loaded cost of an equivalent hire in the US, UK or the Gulf, before recruitment fees, benefits and the months of vacancy.

Two costs are easy to miss. The first is onboarding: expect two to three weeks before a new engineer is at full pace, the same as a local hire. The second is management overhead — a distributed engineer needs clearer written context than someone sitting next to you, and that time is real.

What to check before you sign

1. Who exactly is joining. Insist on interviewing the individual, not a company. If you are shown profiles but assigned someone else on day one, that is the whole relationship in miniature.
2. IP assignment in writing. The code must be yours unconditionally, committed to your repository, with signed assignment and confidentiality before the first commit.
3. Overlap hours, stated in the contract. 'Flexible' means nothing at 4pm on a Thursday. Agree the specific window.
4. Replacement terms. If the fit is wrong, replacement should be at the vendor's cost and within a defined period.
5. Notice period. A month either way is normal. Anything longer is a lock-in dressed as stability.
6. A paid trial. Two weeks of real work tells you more than any interview loop.

Running a distributed team well

• Write things down. A distributed team runs on written context; the decisions that live only in a hallway conversation are the ones that get rebuilt wrong.
• One board, one repository, one standard. Separate tooling for the offshore team creates a second-class team, and second-class teams produce second-class code.
• Review their work like your own. Nothing degrades faster than code nobody reads.
• Give ownership, not tickets. Engineers handed a component to own outperform engineers handed a queue, wherever they sit.
• Meet the person. A video call about something other than a sprint does more for delivery than another status meeting.

When it is the wrong model

Augmentation is a poor fit if you have no technical leadership at all, if the work is a short, sharply-defined project better bought as a deliverable, or if compliance requires personnel in a specific jurisdiction. In the first case a fractional CTO or a delivered project is the better spend, and we will say so on the call.