AI Engineering
Engineers who ship production systems on top of models — and know how to make them reliable.
Prometheus is a recruiting firm for AI-native talent — the engineers, operators, marketers, designers and leaders who already work in AI as a native language. They don’t just use AI. They think in it. We find them, prove them on real work, and place them where they’ll change how your company runs.
01 — The shift
Legacy recruiting was built for a world where skills were stable and output scaled with headcount. It matches keywords to job descriptions and calls it a search.
That world is gone. One AI-native operator can now do what used to take a team — and a company with a dozen of them moves like a different species.
The gap between AI-native talent and everyone else is the defining talent gap of this decade. It doesn’t show up on a résumé, so most recruiters can’t see it.
Prometheus exists to find it — and to put it to work inside the companies that move first.
Definition
AI-native talent are professionals who treat AI as the default layer of how they work. Instead of using AI to speed up old tasks, they rebuild workflows around models and agents, verify the output with strong judgment, and produce at a multiple of conventional output. AI-native is a working style, not a job title — it shows up in engineering, product, marketing, sales, operations, finance and leadership.
Also called: AI-first talent · AI-fluent talent · AI-empowered talent
02 — How we measure
Résumés show where someone has been. The Spark Index measures what they can do now. Every Prometheus finalist is assessed on five signals through live, AI-allowed work — never a keyword scan.
Output, multiplied. We compare what they ship with AI against what a strong conventional peer ships without it.
They design systems, not prompts — agents, tools, data and people wired into workflows that keep running without them.
They know when the model is wrong. Verification, evals and healthy skepticism are built into how they work.
Their toolkit gets rebuilt every quarter. We measure how fast they absorb new models and drop old habits.
Speed without taste is slop. They know what great looks like, and they won’t ship anything less.
03 — Who we place
AI-native isn’t an engineering trait. It shows up in every function — and the companies that hire it everywhere compound fastest.
Engineers who ship production systems on top of models — and know how to make them reliable.
Product people who prototype with AI before they write a spec, and design for software that thinks.
Marketers and sellers who run on automated systems — one person with the output of a department.
Operators who turn manual processes into agentic workflows that run while everyone else sleeps.
Leaders who can set an AI strategy — and personally build the first version of it.
The rare people who make one seat feel like five — in finance, legal, people ops and the founder’s office.
04 — For companies
Most hiring processes can’t tell an AI-native candidate from someone who’s fluent in talking about AI. Ours is built to tell the difference — and to find the people other recruiters can’t see.
Retained search
One critical hire, fully owned. We run the search end to end — from defining the leverage the role must create to closing the candidate.
Best forHeads of AI, founding engineers, senior AI-native operators.
Team build
A founding AI team or AI-native pod of three to ten people, hired in the right sequence so each hire makes the next one stronger.
Best forNew AI product lines, transformation programs, post-raise scale-ups.
Assessment
Measure your current team against the Spark Index. Learn who’s already AI-native, who’s close, and where one hire would change everything.
Best forLeaders planning an AI transformation before they hire.
Every engagement starts with a brief — no fee, no obligation.
05 — The method
Four stages. One rule: nobody reaches your calendar until they’ve proven it on real work.
We map the leverage you need, not a job description. The first question is always: what should this person make possible that isn’t possible today?
We search where AI-native people actually show up — open-source repos, shipped side projects, builder communities, demo days and the work itself. Not keyword filters on job boards.
Finalists complete a paid, real-world work sample with full AI access. We assess how they work — orchestration, judgment, taste — not just what they hand in.
You meet a short list of people who have already proven it. We stay through onboarding, because the goal isn’t a filled seat — it’s a team that moves differently.
| Dimension | Legacy recruiting | Prometheus |
|---|---|---|
| Screens for | Keywords and job titles | Leverage and proof of work |
| Evaluates with | Résumés and recall-based interviews | Paid, AI-allowed work samples |
| AI in interviews | Treated as cheating | Treated as the point |
| Sources from | Job boards and inbound applicants | Builder communities, open source, shipped work |
| Covers | “AI roles” in engineering | AI-native talent in every discipline |
| Success means | A seat filled | A team that moves differently |
06 — For talent
If you’ve rebuilt how you work around AI — and you can show it — you’re who we’re looking for. Join the Torchbearers: our private network of AI-native talent across every discipline.
07 — FAQ
Straight answers about AI-native talent, how we assess it, and how we work.
AI-native talent are professionals who treat AI as the default layer of how they work. Instead of using AI to speed up old tasks, they rebuild workflows around models and agents, verify the output with strong judgment, and produce at a multiple of conventional output. AI-native is a working style, not a job title — it shows up in engineering, product, marketing, sales, operations, finance and leadership.
Traditional agencies match keywords on résumés to job descriptions. Prometheus measures what candidates can actually do with AI. We source from builder communities, open source and shipped work rather than job boards, and every finalist completes a paid, AI-allowed work sample scored on the Spark Index — our five-signal framework for leverage, orchestration, judgment, velocity and taste.
We recruit AI-native talent across six disciplines: AI engineering (agent, applied AI, forward-deployed and evals engineers), AI product and design, AI-native go-to-market (including GTM engineers), operations and automation, AI leadership (Head of AI, Chief AI Officer, VP of AI transformation), and AI-native generalists such as chiefs of staff and finance, legal and people operators.
Through proof of work, not interviews alone. Finalists complete a paid work sample drawn from the real role, with full access to AI tools. We evaluate both the output and the process — how they break down the problem, which tools and agents they orchestrate, how they verify results, and whether the finished work shows taste. Scores map to the five signals of the Spark Index.
Yes — we expect it. Banning AI in an assessment measures how someone works in a world that no longer exists. We want to see exactly how a candidate uses AI under realistic conditions, because that is the job.
An AI-enabled employee uses AI to do existing tasks faster; the workflow stays the same. An AI-native employee redesigns the workflow around AI — delegating to agents, automating whole processes and verifying outputs — which changes the output curve, not just the speed. AI-enabled is an upgrade. AI-native is a different way of working.
It depends on seniority and specialization. We agree on a target timeline in the brief, and you see candidate activity every week rather than waiting for a reveal at the end. Because finalists are vetted through work samples before you meet them, your interview time goes to people who have already proven it.
Fees are scoped to the engagement. Torch Search is a retained search for a single critical hire, Team Ignition is priced per team build, and the Spark Audit is a fixed-scope assessment. You receive a written proposal after the brief. Candidates never pay us anything.
Join the Torchbearers, our private network of AI-native talent. Send us the work you’re proudest of — repos, products, automations, campaigns, anything you shipped — and a note on how AI changed the way you work. We reach out when a role is a genuine fit.
In Greek myth, Prometheus brought fire to humanity, and everything changed. AI-native talent plays the same role inside an organization: the spark that changes what a team is capable of. Our job is to find the people who carry that fire and put them where it will spread.
Tell us about the role — or the team — you can’t afford to get wrong. We’ll reply with how we’d find them.