Question 1

What does it mean that SkillUp engineers are AI-Augmented?

Accepted Answer

Engineers in our network leverage advanced AI tooling (Cursor, Claude Code, GitHub Copilot) embedded into disciplined workflows. They produce clean, thoroughly tested, and documented code 40-50% faster than traditional developers, significantly accelerating production delivery.

Question 2

How fast can you present qualified technical profiles?

Accepted Answer

Our average turnaround SLA is under 48 hours. Based on your tech stack and requirements, our matching engine delivers 2-3 vetted senior candidates ready for the final interview with your team.

Question 3

What technical vetting process is applied to candidates?

Accepted Answer

Our vetting encompasses 4 rigorous stages conducted by Solution Architects: 1. Production experience screening (minimum 4-8+ years in enterprise architectures), 2. Live pair programming & code refactoring (60 min session on realistic production scenarios), 3. System Design & distributed architecture, 4. AI Mastery & Zero Data Retention compliance.

Question 4

What contractual models are available?

Accepted Answer

We offer two primary models: Team Augmentation (individual senior specialists integrated directly into your sprints on a Time & Materials or fixed monthly basis) and Dedicated Squads (autonomous pods led by a Tech Lead with a fixed monthly retainer and SLA delivery guarantees).

Question 5

Is there a trial period or money-back guarantee?

Accepted Answer

Yes. Every placement includes a 14-day zero-risk trial period. If within the first two weeks you feel the developer is not a cultural or technical fit, we immediately replace them or cancel the invoice (zero cost owed).

Question 6

How are intellectual property (IP) and client code protected?

Accepted Answer

All contracts include 100% full transfer of IP rights to your company from day one, backed by bilateral NDAs. For AI tooling, we strictly mandate Enterprise Privacy Mode with Zero Data Retention (ZDR): your code is never stored or used to train public models.

Frequently Asked Questions (B2B)

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