Assessed by working AI practitioners
AI titles are inconsistent and move fast, so a keyword screen is close to useless. Candidates are vetted by people currently building in the space, who can tell applied depth from familiarity with the vocabulary.
AI Recruiting Agency
AI Recruiting Agency for AI-Native Companies
Recruiting for AI companies, beyond the buzzwords.
Human in the Loop Talent is an AI recruiting agency built for AI-native companies, in both senses. We recruit for AI startups: the applied AI engineers, forward deployed engineers, and technical operators an AI-native company runs on. And our own process is what the name says: AI does the mechanical work of the search while working practitioners make every judgment about people. When you need to hire AI engineers, we help you distinguish research, applied engineering, platform, data, product, and enablement needs first, then recruit for the production outcomes the company actually requires.
Hiring companies pay the fee. Exclusive search from 17% · Retained search at 20%.
Roles and Teams
Where We Add Recruiting Depth
Applied AI engineer
AI product engineer
Machine learning engineer
Data and platform engineer
AI product manager
Engineering leader
Technical product marketer
Forward-deployed engineer
What We Know
The Search Changes With the Business Context
Fifteen-plus years working with startup founders and HR professionals informs how we define, assess, and close technical talent.
Research is not production
We separate experimental fluency from the ability to ship reliable AI systems, manage cost, and improve them with real user feedback.
The role boundary matters
Many teams ask for an ML specialist when they need a product engineer who can integrate models, build evaluations, and own the experience.
Evidence beats vocabulary
Assessment focuses on systems shipped, tradeoffs made, failure modes handled, and how candidates measured quality.
Scarcity changes the close
Strong AI candidates move quickly. Compensation, decision speed, technical credibility, and meaningful scope shape acceptance.
Seed
Protect runway. Hire a hands-on builder with enough range to create the function, not merely occupy it.
Series A
Add repeatability without unnecessary layers. Prioritize people who build systems while continuing to execute.
Series B
Hire for scale and durable ownership. Decide whether leadership depth or a senior IC removes the constraint faster.
Avoidable Hiring Errors
Where Searches Go Wrong
- Hiring a research profile for an applied product problem
- Treating a prototype as production experience
- Creating an AI role without data or product ownership
- Assuming equity will compensate for an uncompetitive offer
Frequently Asked
What makes this an AI recruiting agency?
Two things, and we mean both. We specialize in recruiting for AI-native companies, where titles are unstable and keyword screens fail. And AI runs the mechanical layer of our own searches while practitioners currently doing each job make every judgment about candidates, which is the model the name Human in the Loop describes.
What is different about hiring at an AI-native company?
Recruiting for AI startups means the roles are newer, the market is scarcer, and the boundary between research and production talent is where most mis-hires happen. An AI-native company also needs fewer, higher-leverage people, so each search carries more consequence.
Do you recruit only ML engineers?
No. AI companies also need product engineers, platform and data talent, product leaders, technical marketers, and customer-facing technical roles.
Can you define the role first?
Yes. Role calibration is central because many AI hiring problems begin with choosing the wrong profile.
Know the Role. Then Run the Right Search.
Start with the free planner or speak with us about a technical search. We work for the hiring company across the US and Canada.