Step 1 — Define the Requirement
We start with a focused conversation to understand exactly what you need:
- Your technical scope and stack
- The level of seniority required
- Your industry context (telco, fintech, trading, energy)
- The engagement model (dedicated engineer, team extension, or project-based)
- Timeline and onboarding expectations
In most cases, a structured 30-minute call gives us enough clarity to begin sourcing.
The goal is simple: get it right from the beginning so we avoid unnecessary back-and-forth later
Step 2 — Targeted Sourcing & Technical Vetting
We activate our curated AI and ML engineering network across Hungary, CEE, and Western Europe.
Every candidate is:
- Technically evaluated
- Assessed for real production deployment experience
- Screened for communication skills and team fit
- Reference-checked when relevant
Most clients receive a shortlist within 3–5 business days.
We focus on quality and fit — not volume.
Step 3 — Client Evaluation & Selection
You receive a concise shortlist, usually two or three strong matches.
From there, you decide:
- Who to interview
- How deep you want to go technically
- How quickly you want to move
There’s no artificial pressure. You stay fully in control of the decision.
Step 4 — Contracting & Operational Setup
Once you’ve selected a candidate, we handle:
- Contract structure
- Cross-border compliance (if required)
- Onboarding coordination
- Time & Materials tracking
- Clear, transparent invoicing
Your internal team stays focused on delivery — not administration.
Step 5 — Continuous Collaboration & Scaling
If your needs change, we adapt. Whether you want to:
- Scale the team
- Add another engineering profile
- Extend the engagement
- Adjust allocation
You won’t need to restart the entire process.
Our focus is long-term continuity, not repeated sourcing cycles.