Compress Your AI Hiring Risk with Fractional Talent Arbitrage
In a 3.2:1 demand-supply gap, deploy 99th percentile LLM engineers in 14 days. Scale without the $300K bad-hire burnβor runway-killing commitments.
Avg Deployment
14 Days
Cost Savings
40% vs Full-time
Acceptance Rate
Only 3%
Why B2B AI Hiring is Broken in 2025
$400K bootcamps flood the pool, but for Bottlenecked Builders, choices are runway-killers or black-box agencies.
Adverse Selection Trap
"We need a senior AI engineer fast."
118 days to hire. 4 months zero velocity. 68% rejection rate. Graduates leave for Big Tech.
$20K overhead before first line of code. One wrong hire kills 6 months for Seed-Series B.
Gig Marketplace Chaos
"Thousands of AI engineers on Upwork."
Self-reported skills. Zero accountability. Codebase sprawl from task-hopping freelancers.
Management overhead, inconsistent quality, tribal knowledge locked in contractor's head.
Staffing Agency Markup
"We'll find you top AI talent."
30% fees. Recruiters who don't know RAG from API. Optimized for placement, not fit.
Premium for middlemen who can't evaluate production ML experience.
The market is screaming for a better model. We built it.
Applications
Received annually
Technical Screen
Passed initial review
Systems Interview
Architecture deep-dive
Accepted
Production-ready talent
Fractional AI Talent That Actually Works
We're not a staffing agencyβwe're talent access infrastructure. Pre-vetted by practitioners, deployed in weeks, scaled by outcomes.
Pre-vetted by AI Practitioners
Deep technical screening by ML engineers with production experience. Only 3% acceptance rate. Math/stats foundations, systems thinking, research literacy verified.
Fractional β Freelance
Not gig workers. Embedded outcome owners with 90% retention. 2-week average deployment. Scale hours up/down by milestone.
14 Days to Deploy, 40% Cost Savings
No hiring overhead. No agency fees. Transparent pricing. Access 99th percentile talent at modular velocity.
From Brief to Deployed in 14 Days
No lengthy interviews. No recruiter spam. Just expert AI talent matched to your stack and shipped fast.
30-Minute Discovery Call
Share your AI roadmap, stack, and constraints with our AI architectsβnot sales reps. We ask about model choices, data pipelines, and production requirements.
48-Hour Talent Matching
Receive 2-3 pre-vetted profiles with GitHub portfolios, production case studies, and technical briefs. All candidates screened for math foundations and systems thinking.
Engineers Deploying in 2 Weeks
Onboard directly to your Slack/GitHub. Scale hours from 10 to 40/week based on sprint milestones. Cancel anytime with 2-week notice. No lock-ins.
Built for "Bottlenecked Builders"
You're not looking for resumes. You're looking to compress risk. Here's who we're built for:
Seed Founders
"If this hire is wrong, I lose the market window. I need 99th percentile output without the 100th percentile commitment."
SaaS Founders
"We have revenue, but I don't want to become an AI companyβI just need AI to not fall behind."
Technical CTOs
"I don't want to mentor juniors. I need someone who reduces my load and understands tradeoffs."
Enterprise Innovation Teams: Bypass HR Hell
"We have budget but can't hire fast. Procurement takes 6 months. Fractional bypasses the freeze."
The AI Specialists We Place
Senior practitioners with production battle scarsβnot bootcamp graduates cosplaying as ML engineers.
Fractional LLM Engineers
Experts in RAG architecture, vector databases, and prompt optimization. Not just model wrappersβengineers who understand cost vs. performance tradeoffs.
Applied ML Engineers
Bridge Jupyter notebooks to production. Experience with recommendation systems, fraud detection, and real-time inference at scale.
MLOps Specialists
Build infrastructure for models to live, not just train. CI/CD for ML, monitoring, retraining pipelines, and deployment automation.
AI Research Engineers
Turn novel papers into competitive advantages. Experience with custom architectures, zero-shot learning, and pushing SOTA into production.
AI Product Engineers
Understand the UX behind "how AI should feel." Design prompt interfaces, feedback loops, and user-facing AI interactions that don't suck.
Data Infrastructure Leads
Build the data foundations AI needs. ETL pipelines, semantic layers, data quality frameworks, and real-time streaming for model inputs.
Why Our Vetting Works (The 3% Standard)
How We Stack Up Against the Broken Alternatives
| Feature | Full-Time Hire | Staffing Agency | Hire AI Genius |
|---|---|---|---|
| Time to Deploy | 118 days avg | 60-90 days | β14 days |
| Total Cost (Annual) | $200K-$400K | $150K + 30% fee | β$80K-$160K |
| Vetting Quality | Hit-or-miss | Recruiter-screened | β3% acceptance, practitioner-vetted |
| Flexibility | Zero (permanent) | Low (contract lock) | βHigh (weekly scale) |
| Offer Rejection Rate | 68% | 50% | β3% |
| Lock-In Period | Indefinite | 3-12 months | βNone (2-week notice) |
| Management Overhead | High (onboarding, HR) | Medium (vendor mgmt) | βLow (embedded) |
| Outcome Ownership | Employee mindset | Volume-driven | βSenior, outcome-focused |
| Exit Risk | Severance, knowledge loss | Contract penalties | βSmooth handoff |
AI Teams Who Avoided $300K Mistakes
Saved $180K & Shipped MVP in 8 Weeks
Seed-stage AI startup needed senior LLM expertise to build RAG architecture before Series A demo day. Couldn't justify $250K full-time hire on 18-month runway.
Fractional Senior LLM Engineer
- Engagement: 25+ hrs/week, scaled to 40 during sprint
- Focus: RAG architecture, cost optimization, vector DB
- Timeline: 2 weeks to deploy, 8 weeks to MVP
Avoided $240K Overhead, Retained Control
$5M ARR SaaS company wanted AI-powered recommendation engine but feared "AI team creep." Agencies quoted $300K+ for black-box solutions.
Fractional Applied ML Engineer
- Engagement: 20 hrs/week, 6-month project
- Focus: Recommendation system, in-house training
- Timeline: 4 weeks to prototype, 12 weeks to production
Questions Every Smart Buyer Asks
Every Week You Wait, Your Competitor Ships
Amid a 67% YoY AI demand surge, you have two choices:
Burn months on full-time chaos or access pre-vetted talent in 2 weeks.
The right AI hire compounds velocity.
The wrong one kills 6 months.