Scaleups extending capacity
Your roadmap is bigger than your team. You need additional engineers on your existing product - joining your standups, taking tickets, shipping alongside the team you already have.
AI engineers, ready to join your team
Hire AI engineers who've already proven they ship.
Vetted, trained on modern AI engineering practices, full-time Ludotech employees from our Paris and Macedonia offices. They join your team like hires - without the months of recruiting, the take-home tests, or the gamble of finding out three months in that it is not working.
Trusted by
ShaprSeelkClient 03Client 04
Most of what we do is build AI solutions end-to-end. But sometimes you do not need a full team - you need AI engineers working as part of yours. That's this offer.
Who this is for
What you'll get from working with us.
Different teams need engineers in different shapes. Here's what we deliver.
Teams who want engineers who scale with AI
Modern engineering is not writing code - it is making the architecture decisions and directing agents to handle the implementation. Our engineers work this way by default: owning system-level judgment, orchestrating multiple coding agents in parallel through deliberate harness engineering. One engineer, the leverage of several.
Companies launching a new product line
You want to ship something new without slowing your core team. You need an independent squad - Ludotech engineers running as a parallel team, with the focus of a startup and the support of an established org.
Comparison
How we compare to the alternatives.
Most teams comparing options also look at freelance marketplaces, staffing firms, or hiring directly. Here's how we stack up.
| Dimension | Freelance marketplace | Staffing firm | Hiring directly | Ludotech |
|---|---|---|---|---|
| Engineer status | Contractor, swappable | Contracted body shop | Your full-time hire | Full-time Ludotech employee |
| Vetting | Self-declared profile | Variable | Your hiring process (months) | Multi-stage internal vetting |
| AI capability | Self-declared | Inconsistent | Whoever you can hire | Trained continuously, AI-harness engineered |
| Time to start | 1-4 weeks | 4-8 weeks | 3-6+ months | 1-3 weeks |
| Cohesion with our team | None - strangers | Variable | N/A | Built in - engineers work together daily |
| Commitment | Hourly, swappable | Project-based | Permanent hire | Long-term, hire-grade integration |
| Risk if it does not work | Replace and re-onboard | Renegotiate | Termination, severance, lost months | Replace from our team, no re-onboarding cost |
Vetting
How we vet our engineers.
Our differentiation is not seniority - it is how rigorously we select and train. Here's the process every Ludotech engineer goes through before working with a client.
Sourcing
We hire from a deep talent pool in North Macedonia - a country with strong engineering schools, a competitive tech market, and people who treat software seriously. We screen hundreds of candidates a year.
Multi-stage technical assessment
Live coding, system design, code review of real-world problems, and AI-specific evaluation: LLM integration, RAG design, prompt engineering, eval design. Not take-home puzzles - real engineering judgment under observation.
Cultural fit
We hire missionaries, not mercenaries. Engineers who care about quality, take ownership, and engage with product - not just tickets.
Training
How we keep them sharp.
Hiring well is not enough. The discipline is in continuous training - especially in a field that changes every six months.
Onboarding
Every new engineer goes through a structured Ludotech onboarding covering our delivery practices, quality standards, and AI engineering toolkit. By the time they meet your team, they already know how Ludotech engineers work.
AI harness engineering
Modern AI development is not just use Cursor and Claude Code. Doing it well requires a harness: testable code architectures, clean module boundaries, evaluation pipelines, and prompt/code separation. We train every engineer in the practices that make AI agents effective: TDD, hexagonal architectures, dependency injection, observable systems.
Long-standing engineering practice
We train on principles that do not go out of style - Fowler on refactoring, Beck on TDD, Evans on domain modeling, Farley on continuous delivery. The same fundamentals that made code maintainable in 2005 are the fundamentals that make code AI-ready in 2026.
Roles
Roles you can hire.
Engineers across the AI stack, ready to join your team.
Full-stack engineers
React, Node, Python, product APIs, internal tooling.
AI-assisted delivery fluent. Ready in 1-3 weeks.
Backend engineers
Python, Go, Node, APIs, data workflows, performance.
Production AI feature exposure. Ready in 1-3 weeks.
Frontend engineers
React, Next.js, React Native, design systems, product UI.
AI UX patterns fluent. Ready in 1-3 weeks.
Mobile engineers
React Native, mobile architecture, app performance, release workflows.
AI-assisted delivery fluent. Ready in 1-3 weeks.
Tech leads / engineering managers
Technical direction, reviews, delivery rhythm, team coaching.
AI product delivery context. Ready in 1-3 weeks.
Day to day
How it works, day to day.
Once you've matched, what happens next is closer to onboarding a hire than starting a project.
1. Match
Match
We brief our team on your stack, product, and culture. We propose engineers we believe fit. You interview them like you would interview any hire.
2. Onboard
Onboard
They join your Slack, your repo, your standups, your tools. They use your processes, not ours. We do not insert a Ludotech project manager between you.
3. Ship
Ship
They work alongside your engineers, not in a parallel silo. PRs into your repo. Reviews on your timeline. Your tech lead manages them like any other team member.
4. Grow
Grow
Add more engineers as your roadmap evolves, or scale down cleanly when the work is done. Same employer for them, growing context for you.
Proof
Teams we've worked with.
Engineers we've placed. Outcomes those teams shipped.
Hire
"They worked like part of the team from the first sprint."
CTO Shapr
Additional delivery capacity without slowing the core team.
Hire
"Ludotech gave us senior delivery capacity exactly where the roadmap needed it."
Product leader Seelk
Faster delivery, smoother ramp, and stronger engineering continuity.
Hire
"The squad gave us startup focus without creating another team to manage from scratch."
Founder New product line
New product shipped without pulling the core team off track.
Pricing
How we price.
Honest, predictable, monthly.
Monthly per engineer
Scoped to seniority, role, and team shape.
Minimum engagement
Most engagements start at 3 months so the engineer has time to ramp, ship, and compound context.
Always included
The engineer, replacement guarantee, ongoing training, time-zone overlap, support from Ludotech tech leadership, top-tier hardware, and a focused working environment in our Paris and Macedonia offices.
Typical range
Shared after role scoping, based on seniority, availability, and duration.
FAQ
Common questions.
The questions teams ask us before signing.
How fast can an engineer start?
Most matches can move from brief to interviews within 1-3 weeks, depending on role and availability.
How rigorous is your vetting, really?
Every Ludotech engineer goes through sourcing, multi-stage technical assessment, AI-specific evaluation, cultural fit screening, and an internal probation period before working with clients.
What if the engineer is not a fit?
We replace from our team and preserve context wherever possible, without the re-onboarding cost you would carry with a marketplace hire.
Who manages them - you or us?
You manage them day to day. They use your tools, your repo, your standups, and your engineering process, with Ludotech support behind them.
What is the minimum engagement?
Most engagements start at 3 months. Shorter needs can be discussed when the scope is very clear.
Who owns the IP and the code?
You do, fully. Engineers work inside your repo and contribution process.
Can we hire them permanently later?
Permanent conversion can be discussed upfront. If a buyout path applies, we set that expectation before the engagement starts.
How is this different from Toptal, Andela, or a freelance platform?
You get full-time Ludotech employees who work together daily, are vetted and trained internally, and can be replaced from our team without starting the process from zero.
Need engineers ready to join your team?
Let's match.
One call, one honest conversation. We'll tell you what kind of engineer fits, how fast we can match, and whether we're the right call for your situation.