AI Staff Augmentation Services That Scale With Your Roadmap
Add pre-vetted, AI-fluent engineers to your team in under 14 days — and scale up or down as your projects demand. No recruiting fees, no permanent headcount risk, full US time-zone overlap. From $35/hour.
✔ Embed in days, not months ✔ Scale on demand ✔ Cancel anytime, 2 weeks’ notice ✔ No recruiting fee
What is AI staff augmentation?
AI staff augmentation means adding specialized, pre-vetted AI engineers to your existing team on a flexible basis — without the cost, delay, and commitment of permanent hiring. You keep full control: the engineers work inside your stack, your tickets, and your process, managed directly by you, as if they were employees. The difference is speed and flexibility. You bring them on in days, scale the team to match each phase of your AI roadmap, and adjust as priorities shift.
It’s the model fast-moving teams are defaulting to in 2026, because AI work comes in phases — model development, production deployment, governance — and rigid permanent headcount doesn’t fit that rhythm.
Why teams choose staff augmentation over permanent hiring
Speed: weeks, not months
A traditional senior AI hire takes two to four months to source, screen, and close. Our augmentation model puts a vetted engineer on your team in under 14 days — because the vetting is already done.
Flexibility: match capacity to the work
Scale up for a model deployment sprint, scale down during a maintenance phase. You’re never carrying headcount you don’t need, and never stuck short-handed when a project accelerates.
Cost: no recruiting fees, no overhead
At $35/hour with no recruiting fee, no setup cost, and no benefits overhead, augmentation costs a fraction of an in-house hire — whose fully loaded cost runs $185K–$265K a year in the US.
Low risk: cancel anytime
If a project ends or the fit isn’t right, you cancel with two weeks’ notice. No severance, no sunk recruiting cost, no long-term lock-in.
Roles we augment
Our network covers the full range of production AI talent: generative AI and LLM engineers, LLMOps and MLOps engineers, computer vision engineers, ML engineers, and data engineers — all vetted for real production experience, not just theory.
Trusted by teams shipping real products
Companies like Riskcast, BGO Software, and everyone.ai use Divogue engineers as long-term extensions of their teams — across construction technology, healthcare software, and ML infrastructure.
How it works
1. Tell us what you need. A 30-minute call to scope the role, your stack, and the phase of work. No obligation.
2. We match pre-vetted engineers. Within days we present candidates who fit your requirements and time zone.
3. You interview and choose. You make the final call and interview until you’re confident.
4. They embed — in under 14 days. Your engineer joins your team and process, ready to contribute.
Simple, transparent pricing
$35/hour
per engineer, scale up or down anytime
No recruiting fee · No setup cost · Cancel anytime with 2 weeks’ notice
Frequently asked questions
How is staff augmentation different from hiring a contractor?
Our engineers are pre-vetted, embedded in your team for the duration you need, and backed by Divogue’s support — not a one-off freelancer you have to find, screen, and manage alone.
Can I scale the team up or down?
Yes. That’s the core advantage. Add engineers for a sprint or deployment phase, and reduce when the work slows — with two weeks’ notice either way.
Do I manage the engineers directly?
Yes. They work inside your tools and process, and you manage them like any team member. There’s no account-manager middle layer.
How fast can engineers start?
Most placements are live in under 14 days from the first call.
What does $35/hour include?
It’s an all-in rate per engineer — no recruiting fee, no setup cost, no long-term contract. You pay only for hours worked.
Scale your AI team without the wait
Book a free 30-minute call. Tell us what you need, and we’ll show you matched engineers within days.