New York's AI talent sits across startups, fintech, media and enterprise software. We find the people who have shipped AI into real products and bring them to teams that need them now.
New York's AI market looks different from the Bay Area's. Much of the strongest talent has built models and AI features inside finance, media, health and enterprise software, where reliability, data quality and regulation matter as much as model quality.
That makes domain fit a real differentiator. We look past titles to what candidates have actually shipped, and we assess for judgment under constraints, not just research credentials.
We turn the hiring manager's real bar into a behavioural scorecard: what great looks like in the first 90 days, which trade-offs matter, and which signals on a CV are noise.
AI tooling maps the market, including engineers who are not on job boards and people whose titles do not match what they actually build.
Every candidate who is advanced or rejected is reviewed by a person. Shortlists come with written reasoning you can audit, not a black-box score.
Structured interviews and behavioural assessment test judgment, ownership and how someone ships under ambiguity, which is what separates strong AI engineers from strong interviewers.
If you use an automated employment decision tool to screen candidates for a job located in New York City, Local Law 144 requires an independent bias audit, a published summary and candidate notice. We run our own searches to that standard, and we audit other companies' hiring tools against it.
Read: NYC Local Law 144 explainedYes. A human makes every candidate decision in our searches, and we document the reasoning. Where AI tools are used to substantially assist screening for NYC roles, we follow the law's audit and notice requirements.
Applied AI and LLM engineers, ML engineers, ML platform engineers, founding engineers, production data scientists, AI product managers, and go-to-market roles selling AI products.
Yes. Much of New York's AI talent is in fintech, media and enterprise software, and we recruit for companies at every stage that are building AI into their products.
We assess people on how they work, not on keyword matches in a resume. AI speeds up sourcing, and a person with behavioural science training owns every decision.
Tell us the role and where the pipeline is stuck. You'll hear back within one business day with a scope, a timeline, and a fee.
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