ServicesAI engineers for your team
Hire AI engineers who add capacity and leave the know-how with your team
Your AI plans keep moving even if you cannot find AI specialists to hire, and the know-how stays in your company afterwards. Our engineers join your team part-time or for longer, work in your repositories, tickets and reviews, and build AI features in your products, agents and the platforms underneath. This suits companies whose roadmap holds more AI work than their team has skills or people for. We have engineers in Germany and Poland, working in English, German or Polish.
How it works
- 1
We discuss the work, the skills it needs and how your team runs.
- 2
You meet the engineers who would join before anything starts.
- 3
They work in your tools, with your reviews and your rules.
- 4
Knowledge stays with your team through pairing, documentation and handover.
What changes for your business
Your AI work gets done without waiting for hires you cannot find, and your own team learns as it goes. Management wants AI in the product or in internal processes, and the roadmap shows it, but people who have built and run production AI are hard to hire. Our engineers fill that gap inside your team, and your engineers take the work over with the decisions, tests and runbooks written down.
- AI features in your own products, such as assistants, search and voice, built by people who have shipped them before
- Extra capacity for the AI part of your roadmap, without a hiring round
- Skills your team lacks, such as evaluations, retrieval, agents or GPU serving, covered by a team rather than one freelancer
- Your engineers learn by pairing on real work, so the know-how stays when we leave
- Management's AI mandate turned into working product features, tested before they reach customers
More detail
AI in a company's own products is growing. In Bitkom's 2026 survey, 20% of companies that use AI use it in their own products and services, up from 12% in 2025.
What our AI engineers work on
Our AI engineers take on the work where your team lacks people or experience, and they do it inside your codebase:
More detail
- AI features in your product, such as assistants, search over your documents and voice interfaces
- AI agents and automation for business processes, tested on past cases
- Model selection, evaluation sets, fine-tuning and model routing
- Inference serving, GPUs and cloud infrastructure for AI workloads
- MCP servers and integrations that connect AI tools to your systems
- Coding agent setup for your engineering teams: harness, permissions and cost control
Who joins your team
Our engineers are experienced software and machine learning engineers who have built and run production AI, from computer vision models to voice interfaces and enterprise assistants. They review each other's work, and one of them is your day-to-day contact. You meet them before they start.
More detail
They work in English, German or Polish. Whether they work remotely or partly on site is agreed with you.
Would you like to talk this through for your own case? The first call is free and takes 30 minutes.
Book a 30-minute callWays to work together
In every model the engineers follow your engineering process: your tickets, code review, CI and, where agreed, your on-call rules. Scope, duration and price are agreed after the first call.
More detail
- Part-time: one engineer for some days a week alongside your team, for example to set up evaluations or a platform component
- Full-time for a period: one or more engineers inside your team on a defined area of your roadmap
- A small team that builds one AI system with your engineers and hands it over
Compared with hiring or a freelance marketplace
Hiring your own AI engineers is the right long-term choice for work that will last, and we can help you define those roles. Freelance marketplaces are quick to start with but leave the checking of the work to you. Our engineers come with a team behind them that reviews their work and covers skills one person lacks, and the arrangement can end once your own people have taken the work over.
Leaving the know-how with you
The aim is that your team owns the result. Our engineers pair with yours on the hard parts, write down decisions and runbooks as they go, and plan the handover from the start. If you are building your own AI team, we can also run hands-on training on your own code.
Contract model and responsibilities
Before work starts we agree the contract model, responsibilities, access and reporting, and a data processing agreement covers the work in your systems. The arrangement has to fit the employment and contracting rules where you are, and your legal team should review it with us. We report on the work by team and task and never score individual people.
Questions
How do we deal with the shortage of AI specialists?
You are not alone. In Bitkom's 2026 survey, 85% of companies that do not use AI yet name a lack of technical know-how as a barrier. A workable answer has three parts: hire for the roles that will last, train the engineers you have, and bring in experienced AI engineers for the work that cannot wait. Our engineers cover the third part and help with the first two by defining the roles with you and pairing with your people.
Do we need an AI agency, or can our own team do it?
If your team has built and run production AI before, a review of its plans may be all it needs. If not, the first system is where mistakes cost most, and experienced engineers inside your team shorten the learning curve. The aim is always that your own people own the result, so the arrangement ends once they have taken it over.
What drives the cost of bringing in AI engineers?
The number of engineers, whether they work part-time or full-time, the skills the work needs, and whether we also take on operation or training. Each step has a fixed price, agreed in writing after the first call, and you can start with one engineer part-time on a defined problem.
How quickly can an AI engineer start?
That depends on the skills you need and on our availability at the time. We tell you in the first call and propose the engineers before you commit.
Do your engineers work on our code and infrastructure?
Yes, with the access you grant and under your security rules. Access is agreed before work starts and removed when it ends.
Can we start with one engineer part-time?
Yes. One engineer part-time on a defined problem is a good way to see how the collaboration works before you widen it.
Who owns the code your engineers write?
Code, tests and documentation are written in your repositories from the first day, and ownership is set out in the contract before work starts.
How does working with your AI engineers start?
With a free 30-minute call with one of our engineers about the work and your team. We need no access to your systems for it. Afterwards we propose the engineers, the way of working and a price.
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Talk to an engineer
Tell us about the AI work your team has no time or skills for yet, and we will suggest who could fill the gap. The call takes 30 minutes and needs no access to your systems or your data.
Booking runs on Google Calendar.
When you book a call, you speak to Mickey Graf
He founded Cloudsail and has put machine learning into production since 2017, including AI engineering at trivago and SAP. The call can be in English, German or Polish.
Prefer to write first? Leave your email and a few lines. Mickey reads every message himself and replies by email with times for a call.
Look for the draft in your email program
Send it from there, and Mickey replies in person with times for a 30-minute call. If no draft has opened, write to us at miki@cloudsail.com.