Recruitment for AI and deep tech companies
AI-first companies compete for a small pool of engineers who have shipped models and LLM systems to real users. HyrEzy finds them, verifies the production evidence behind their skills, and screens out resumes that only list the right keywords.
Roles we hire in AI & Deep Tech
- AI and LLM engineers
- ML engineers and MLOps
- Data scientists
- Research engineers
- Data engineers
- AI product managers
- Applied scientists
- Solutions engineers for AI products
Why AI hiring needs evidence, not keywords
Almost every AI resume lists the same frameworks. What separates strong candidates is production evidence: evaluation, retrieval quality, latency and cost control, and models that stayed healthy after launch.
AI-first companies also need product managers and go-to-market people who understand what models can and cannot do. HyrEzy evaluates both sides against the specific problem you are building for.
What we look for
- LLM or ML systems with real users, and measured quality, latency or cost.
- Evaluation work: test sets, metrics and regression checks.
- Models monitored and retrained after launch.
- Public work where available: repositories, papers or competition records.
Teams we build
AI and LLM engineering
Engineers who build, evaluate and serve LLM and retrieval systems in production.
Machine learning
ML engineers, MLOps and applied scientists who take models from training to production.
Data
Data engineers and data scientists who build the pipelines and experiments AI products depend on.
AI product and go-to-market
Product managers and solutions engineers who translate model capability into customer value.
How HyrEzy evaluates candidates for AI & Deep Tech roles
Four layers before a candidate reaches your inbox. Zero retainer; you pay only on a successful hire, with a 90-day replacement guarantee.
Vantage Intelligence score
Every candidate is scored against your JD across 19 dimensions, with skills backed by project evidence separated from skills that are only claimed.
Recruiter validation
A recruiter with product-company hiring experience speaks to each shortlisted candidate about motivation, ownership, notice period and fit.
CV evaluation
A role-specific rubric with evidence cited from the resume, and red flags called out for your panel to probe.
Structured AI video interview
An adaptive, asynchronous interview with a full report, before you spend your own interview time.
Frequently asked questions
Can HyrEzy hire AI engineers with production experience?
Yes. HyrEzy's Vantage Intelligence separates skills backed by project evidence from skills that are only listed, so shortlists focus on engineers who have shipped AI systems.
Do you hire research roles?
Yes, including research engineers and applied scientists, evaluated on published or shipped work.
What does it cost?
Success fees only: 8.33% for 0–3 years, 10–12% for 3–10 years, 16% and above for senior and leadership roles, with zero retainer and a 90-day replacement guarantee.
Hiring in AI & Deep Tech?
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