Senior AI Engineers · Deployed Fast · Priced Right

Your Next AI Engineer is in India. Ready in 2 Weeks.

Senior, pre-vetted AI engineers — available on a project or retainer basis — at 60–70% less than US hiring cost. No recruitment lag. No long-term headcount commitment.

Abstract illustration of AI engineering — neural networks and code
2 Weeks
Average time to first commit
$200K+
Average annual saving per engineer
80%+
Applicants rejected in our vetting
48 Hours
Time to matched profiles
The Problem

AI talent is broken in the US market.

The average AI/ML engineer search in the US takes 14+ weeks. Fully loaded, a senior hire costs $250,000–$400,000 a year — if you can find one at all. You're a 100-person Series B company. You need to ship AI features, not run a 4-month recruiting process.

Caliber fixes that.

Why Caliber

Built for engineering leaders who need to ship.

Speed

Deployed in 2 Weeks

From brief to first commit in days. Our pre-vetted bench means no waiting.

Quality

Senior Engineers Only

Every engineer has shipped production AI — RAG pipelines, LLM integrations, MLOps infrastructure.

Flexibility

Project or Retainer

Start with a fixed-scope pilot. Convert to a retainer when ready. No forced commitments.

The Numbers

The numbers speak for themselves.

MetricUS HiringCaliber.ai
Time to first commit14–18 weeks10–14 days
Annual cost (Senior ML)$250,000–$400,000$84,000–$120,000
Replacement if no fitExpensive & slow2-week guarantee
Headcount impactYesNo
Annual saving per engineer$160,000–$280,000

That's a saving of $160,000–$280,000 per engineer, per year.

Who We Work With

Built for companies that build with AI.

We work with Series A–C SaaS startups and PE-backed mid-market companies in the US — typically 50–500 employees — embedding AI into their products.

Fintech & LegaltechHealthtech & InsurtechProptech & Retail SaaSAny LLM/ML product team
Capability

What our engineers build.

  • RAG pipelines and LLM integrations
  • MLOps infrastructure and model deployment
  • Fine-tuning and prompt engineering at scale
  • Data pipelines and feature engineering
  • AI audits, model evaluation, performance optimization
Testimonials

What our clients say

"We filled a senior ML role in 11 days through Caliber that we had been trying to hire locally for 4 months."

VP Engineering
Series B Fintech, NYC

"The engineer shipped our RAG pipeline to production in his second week. Vetting clearly works."

Head of AI
Healthtech, Boston

"Saved us roughly $220k a year versus a US hire — without compromising on seniority."

CTO
PE-backed SaaS, Austin
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