Three to six months. Custom AI infrastructure. Systems that keep running and keep shipping when the engagement ends. Bringing Uber-scale engineering to Europe.
Most companies hire a full-time engineer to build something once, then keep them around to maintain it. There's a better model.
Senior AI engineers command $300–500k in total compensation. You're hiring them to solve a specific architectural problem, then keeping them on indefinitely to justify the headcount.
A focused 3–6 month engagement. I assess what you have, design the AI infrastructure you actually need, build it, deploy it, document every decision, and train your team to own it.
Systems that keep running. Runbooks your team can follow. AI agents handling work that used to require human hours. ROI that shows up in year one.
PhD Physics, MBA, Staff Engineer at Uber. But what actually matters is what got shipped.
No retainers, no ambiguity. A fixed arc with defined deliverables at every phase — and a clear handoff when we're done.
Audit your current stack, codebase, and team. Identify where AI creates real leverage versus where it's noise. Produce an architecture decision record.
Design and deploy the AI infrastructure. This is the bulk of the engagement — actual production systems, not prototypes. Your team is in the loop throughout.
Load testing, observability, runbooks. Identify failure modes before they find you. Documentation that an engineer two years from now can follow.
Knowledge transfer sessions with your team. Everything is yours: systems, credentials, runbooks. Optional 30-day post-engagement availability.
If you have a concrete problem — a system that needs building, a team that needs unblocking, AI that needs to actually work in production — let's talk.
For company engagements → westoverlabs.eu