Search engine for founders hiring AI/ML engineers.

Quickly discover the right engineer via human-labelled traits. Filter by 3,000+ skills and 400+ labels, from what they’ve built to how they work, think, and communicate. Interview directly.

Free to search Pay only when you hire

Try:

Hiring an AI engineer shouldn’t be a second job.

Most founders try one of three things. Each costs something you don’t have.

Post “We’re hiring” on X

Noise.

Your inbox floods with spam and recruiter pitches, and you’re the only one there to sort through it.

DM engineers on LinkedIn

Your time.

It works, sometimes. Mostly it’s days of outreach followed by silence.

Hand it to a recruiter

A misaligned hire.

They keep pushing candidates who don’t fit, because nobody ever pinned down what fit means.

Spam Cold DMs Pushed candidates

Discover engineers on your own, by the traits you actually care about.

High AgencyEntrepreneurialShipped AgentsWorked in HealthcareEx-FAANG
+ 400 more

Easy steps to your next hire.

  1. Find

    Search in plain English. Find the engineer who fits.

  2. Interview

    Talk to engineers directly. No middleman.

  3. Hire

    Direct hire or contract.

Every engineer is interviewed
and labelled by three experts.

We do the unscalable part, so you get to the shortlist faster.

ML Engineer · #2087
Brazil · 8 yrs · 5 in AI
From the recruiter call
  • Identity verified
  • Work history verified
  • US work permit
  • Worked with US teams
From the engineer call
RecSysLLM Fine-tuningBuilt a Rec EnginePyTorch
From the team lead call
High AgencyClear CommunicatorThrives in Ambiguity

“Takes a vague problem, scopes it, ships a first version in days, then explains the tradeoffs without jargon.”

What a label means.

A glimpse of how one trait is labelled.

High AgencySample
Takes ownership of outcomes beyond their role, without being asked.
Indicators
  • Started work nobody assigned themObserved
  • Unblocked themselves when the path was unclearObserved
  • Confidential
Evidence from interviews

“Releases kept slipping because evals took two days, so I rebuilt the pipeline over a weekend and got it under an hour.”

Label: High Agency Strong signal
Written rubric
Clear indicators and criteria
Evidence-based
Every label ties back to the call
AI-assisted
Keeps labelling more objective
Expert-confirmed
A human signs off every label

Filter by the traits that matter to you.

What résumés miss, verified by real experts and searchable.

Custom AI criteria

No filter for it? Write your own.

Add up to five criteria in plain English. We show who qualifies.

  • Has shipped an LLM feature to paying users
  • Was an early engineer at a startup
  • Comfortable owning both infra and product
  • Add your own criteria
3,176SkillsFrom PyTorch to LangGraph to vLLM.
33Professional strengthsHow they work, think, and communicate.
174 Products they’ve built
+ 168 more
117Industries they’ve worked inFrom healthcare to fintech.
28Areas of expertiseDeep mastery, from Agentic AI to RAG.
The traits founders usually look for
+ more
Tap any trait to add it to your search

Why founders search instead of post.

CriteriaTeamExPosting on X/LinkedInWorking with Recruiters
Who you seeCandidates interviewed and labelled by three expertsWhoever replies, usually spamWhoever the recruiter picks
How you define fitSkills, things they’ve built, how they work, think, and communicateRead résumés and guessA job description you had to write
Your timeOne search to a shortlistHours/days sorting inboundWeeks of back-and-forth
Talking to candidatesDirectlyDirectlyThrough a middleman
If it doesn’t work out90-day free replacementStart overVaries by firm

Who you see

TeamEx
Candidates interviewed and labelled by three experts
Posting on X/LinkedIn
Whoever replies, usually spam
Working with Recruiters
Whoever the recruiter picks

How you define fit

TeamEx
Skills, things they’ve built, how they work, think, and communicate
Posting on X/LinkedIn
Read résumés and guess
Working with Recruiters
A job description you had to write

Your time

TeamEx
One search to a shortlist
Posting on X/LinkedIn
Hours/days sorting inbound
Working with Recruiters
Weeks of back-and-forth

Talking to candidates

TeamEx
Directly
Posting on X/LinkedIn
Directly
Working with Recruiters
Through a middleman

If it doesn’t work out

TeamEx
90-day free replacement
Posting on X/LinkedIn
Start over
Working with Recruiters
Varies by firm

Pay when you hire.

No subscription. No annual contract. No recruiting stack to buy.

Popular
Direct HireEngineers are on your payroll.
25%of first-year salary
  • One-time, only when you hire
  • Interview and negotiate directly
  • 90-day free replacement
ContractEngineers work with your team on contract.
25%of your monthly bill
  • Monthly billing
  • Interview and negotiate directly
  • 90-day free replacement

Questions founders ask

Every engineer has three calls. A recruiter verifies work history, identity and credentials. An engineer goes deep on skills, specialty, projects and products built. A team lead explores how they work, think, and communicate.

No. Describe who you need in plain English, the way you’d explain it to a cofounder. We turn it into filters you can adjust, and you can add up to five custom criteria of your own.

In the US, Canada and LATAM. You can filter by location, US work permit and experience working with US teams.

Direct hire: a 25% placement fee, paid once when you hire. Contract: a 25% margin. There’s no subscription.

Every hire comes with a 90-day free replacement. Conditions apply.

Founders of US pre-seed to Series A startups building AI-native products, who hire every so often and don’t have a recruiting team.

Your next AI/ML engineer is one search away.

Describe them in a sentence. See who fits. Hire.

Are you an AI/ML engineer? Sign Up