Founding Engineer
0→1 builders who own the whole stack, make architecture calls without a committee, and turn a founder's sketch into shipped product.
Full stack · GeneralistWe find founding and applied AI engineers for early-stage teams in New York and the Bay Area. Deep briefs, short shortlists, and only the people we would vouch for ourselves.
First shortlist within 48 hours of the brief. No retainer to start the conversation.
Specialising in
We do not recruit across every function. We go deep on the hires that decide whether an AI company ships.
0→1 builders who own the whole stack, make architecture calls without a committee, and turn a founder's sketch into shipped product.
Full stack · GeneralistEngineers who take models into production — retrieval, agents, evaluation harnesses, latency and cost — not notebook prototypes.
LLM · Agents · EvalsThe technical bridge to your enterprise customers. Engineers who can sit in a client's office, scope the problem, and build the integration.
Customer facingTraining, fine-tuning, and serving models at scale. People who have owned a pipeline end to end and know where it breaks.
Training · Serving · InfraBuilders who think in user problems and speak in code. The hire that stops your roadmap from becoming a backlog.
Product · Design senseInfrastructure, security, data engineering or a first technical leader. If it sits near this core, tell us the problem and we will say honestly whether we are the right partner.
Ask us →You will always know who we are talking to, why they made the list, and where the search stands.
A working session on your stack, your first ninety days, and the failure modes of the role. We would rather over-invest here than send you five near-misses.
We approach engineers directly through our network, screen them technically, and send you a handful with written context on why each one fits — and where they do not.
We help you structure the offer, manage counter-offers, and check in after the start date. A placement that leaves in month three is not a placement.
Most AI hiring happens in two places. We work in both, so a search is never limited by one city's talent pool.
The fastest-growing market for AI applied to regulated industries — fintech, insurance, legal, and enterprise SaaS. We are embedded in the NYC founder and operator community.
The centre of frontier AI research and infrastructure. Where we source engineers who have already worked at model labs, dev-tool companies, and AI infrastructure startups.
We don't send a stack of résumés. We send the right engineer.
A shortlist of four people you would genuinely hire beats forty you have to filter. That is the whole product.
A standard contingency fee on a percentage of first-year base salary, payable only when a candidate you hire starts. We agree the number in writing before the search begins, and it includes a replacement guarantee if the hire does not work out inside the guarantee window. No retainer is required to open a conversation.
A first shortlist within 48 hours of the brief in most searches. Speed comes from the depth of the brief, not from volume — we would rather send four strong profiles on day two than twenty on day one.
Often, yes. Engineers who join at the founding stage are choosing the problem, the founders, and the equity — not the base salary. Our job is to find the people for whom your specific problem is the draw, and to make that case honestly. If your package genuinely is not competitive for the role, we will tell you that before you spend time on a search.
Our network is deepest in those two markets, and that is where we do our best work. We will run remote and hybrid searches across the US when the role suits it. If a search sits well outside our strength, we will say so rather than take it on.
Forty-five minutes for the brief, a named decision-maker who can move quickly, and an interview loop that can turn around inside a week. Strong AI engineers are typically in three processes at once — a slow loop is the single most common reason a search fails.
Yes. If you have built AI products in production — agents, evaluation systems, inference infrastructure, or a founding-engineer track record — send us a note. We will not spray your profile across the market; we will come to you when something genuinely fits.
Send us the brief and we will come back within one business day — with a shortlist, or with an honest answer about whether we are the right partner for it.