Hire Pre-Vetted, AI-Fluent Engineers in Under 14 Days
Skip the 3-month recruiting grind and the $250K salary. Get senior AI engineers from LATAM and APAC who already overlap your US hours, work inside your team, and ship from day one — at $35/hour.
✔ Sub-14-day placement ✔ US time-zone overlap ✔ Cancel anytime, 2 weeks’ notice ✔ No recruiting fee
The math no one tells you about hiring AI engineers in-house
Here’s the budget reality most companies discover too late. Hiring a single mid-to-senior AI engineer in the US in 2026 costs $185,000 to $265,000 per year once you stack salary, payroll tax, benefits, and equity — and that’s before recruiting fees, which run 20–25% of first-year base on top.
Then there’s the wait. The average specialized tech search takes weeks to months to close, and AI roles are the hardest to fill on the market right now. You’re paying a recruiter, burning runway, and your roadmap is stalled the entire time.
Divogue flips that. A pre-vetted, AI-fluent engineer at $35/hour — roughly $67,000 a year at full-time hours — embedded in your team in under two weeks. No recruiting fee. No long-term lock-in. Cancel with two weeks’ notice if it’s not working.
| In-House US Hire | Divogue | |
|---|---|---|
| Annual cost | $185K–$265K loaded | ~$67K ($35/hr) |
| Time to start | 2–4 months | Under 14 days |
| Recruiting fee | 20–25% of base | $0 |
| Commitment | Permanent / severance | Cancel, 2 weeks’ notice |
| Time-zone overlap | Full | Full US hours |
Why teams choose Divogue over offshore agencies and freelancers
Pre-vetted for AI fluency, not just coding
Every engineer we place is tested on what actually matters in 2026: working with LLMs, RAG pipelines, MLOps, and shipping AI features to production. You don’t get a generic developer who lists “AI” on a résumé — you get someone who builds with these tools daily.
Real US time-zone overlap
We source primarily from LATAM and APAC and place engineers who work your business hours. Standups, pairing, and quick Slack answers happen in real time — not on a 12-hour delay.
Embedded in your team, not a black box
Our engineers work inside your stack, your tickets, and your process as an extension of your team. You manage them directly. No account-manager telephone game.
Speed without the gamble
Under 14 days to placement, and if the fit isn’t right, you cancel with two weeks’ notice. The risk of a bad hire — months of salary, severance, lost roadmap time — simply isn’t there.
Comparing providers before you commit? See how we stack up in our honest breakdown of the 7 best Toptal alternatives in 2026.
Trusted by teams shipping real products
Divogue engineers are already embedded with companies building in production, including Riskcast, BGO Software, and everyone.ai — across construction technology, healthcare software, and ML infrastructure.
How it works
1. Tell us what you need. A 30-minute call to understand the role, your stack, and the skills that matter. No obligation.
2. We match the right engineer. Within days we present pre-vetted candidates who fit your requirements and time zone.
3. You interview and choose. You make the final call. Interview as many as you’d like until you’re confident.
4. They start — in under 14 days. Your engineer joins your team, your tools, and your standups, ready to contribute.
Simple, transparent pricing
$35/hour
per AI engineer, full-time or part-time
No recruiting fee · No setup cost · Cancel anytime with 2 weeks’ notice
Frequently asked questions
How fast can I actually get an engineer started?
Most placements are live in under 14 days from your first call. For common roles where we already have vetted talent ready, it can be faster.
What does $35/hour include?
It’s an all-in rate for a pre-vetted AI engineer working as part of your team. There’s no separate recruiting fee, no setup cost, and no long-term contract. You pay only for the hours worked.
Where are your engineers based?
Primarily across LATAM and APAC, selected specifically for strong overlap with US working hours so collaboration happens in real time.
What kinds of AI engineers can you place?
Generative AI and LLM engineers, LLMOps and MLOps engineers, computer vision engineers, and ML engineers — all vetted for production experience with modern AI tooling.
What if the engineer isn’t the right fit?
You can cancel with two weeks’ notice, no penalty. We’ll work with you to find a better match if you’d like to continue.
Do I manage the engineer directly?
Yes. Our engineers embed in your team, your tools, and your process. You manage them as you would any team member — no middle layer.
Book a free intro call
Pick a time that works for you. We’ll walk through your stack, your needs, and show you matched engineers within days.
Ready to add AI talent without the wait?
Book a free 30-minute call. Tell us what you need, and we’ll show you matched engineers within days.