~2 wks
average onboarding
40+
senior engineers
90%
pass tech screening
GDPR
ready contracts
The hiring gap
Local AI talent is scarce — and slow to hire
European SMEs need LLM, agent, and data skills now, but recruiting senior AI engineers locally takes months. Freelancers lack continuity; outsourcing hides the people doing the work. You need dedicated engineers inside your team, in your timezone.
Why IT grows
AI-first vetting
LangChain, RAG, MCP, FastAPI — we screen for production AI, not tutorial projects.
European delivery
Work with engineers who match your timezone, communication style and delivery expectations.
One accountable partner
Same team can automate first, then embed engineers to scale what works — no handoffs.
Typical profiles
Skills we place for AI engineering roles
How hiring works
- 1
Discovery call
30 minutes to map your stack, timezone, and seniority needs.
- 2
Shortlist in days
We match pre-vetted profiles — you interview for culture and depth.
- 3
Onboard in ~2 weeks
Engineers join your Slack, repos, and rituals like an in-house hire.
- 4
Scale or swap
Add capacity monthly; replacement guarantee during onboarding.
FAQ
How fast can an AI engineer start?
Shortlist within days after discovery; most clients onboard in about two weeks once interviews are done.
Do they work in our timezone?
Yes — we align with European business hours (CET / GMT±2) and integrate into your standups and tools.
Can we hire one engineer or a squad?
Both. Start with one senior AI engineer or a ready-made AI Support / Data squad depending on your goal.
Who owns the IP?
You do. Code and models built for your project belong to you under our standard EU-friendly agreement.
Explore how we deliver AI talent and automation together.