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Prime Intellect
compute plus RL tooling so enterprises can train their own agents instead of renting frontier models
Last verified August 15, 2026 · Updated daily
What Prime Intellect is building
Prime Intellect sells the capabilities of a frontier AI lab as modular infrastructure: compute, reinforcement-learning environments and sandboxes, post-training tooling, inference, and continual-learning deployment, so enterprises can train and own custom models and agents for their specific workflows instead of renting closed frontier models forever. The platform works like a marketplace — customers take only the pieces they need. Ramp used it to train a small RL subagent that finds answers inside spreadsheets, which the company says beat frontier models on accuracy at higher speed and a fraction of the cost; Zapier is also cited as a customer. The next bets are explicitly stated: long-horizon agents and Recursive Language Models that manage their own context and coordinate sub-agents where today's models break down.
Why this matters
This is the infrastructure-layer counter-bet to closed-lab dominance, and the cap table telegraphs it: three chipmaker venture arms (NVIDIA, Intel, Dell) benefit directly when training is distributed across many buyers rather than concentrated in a few labs. Radical's partner argues Prime Intellect uniquely packages top-tier-lab capability as a one-stop shop that's affordable at the frontier. CEO Vincent Weisser's stated conviction is that model-training capability shouldn't belong to a few people in a glass tower in San Francisco — it should be available to every enterprise and nation-state. The traction backs the rhetoric: roughly $100M annualized revenue within two years of founding, a reported $1B valuation, and reference customers (Ramp) publicly saying their trained-own-model beat the frontier alternative. If enterprises keep choosing to build rather than rent, this is one of the defining infrastructure companies of the cycle.
Open roles at Prime Intellect
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
The company says it is scaling every layer of the stack — larger compute clusters, larger RL runs, agentic training/inference infrastructure — plus frontier bets on long-horizon agents and Recursive Language Models. That is an engineering-heavy hiring mandate at a company that went from founding to ~$100M run-rate in about two years. The caveat: at a reported $1B valuation the bar is frontier-lab-grade, and some hiring will professionalize through recruiters — which is exactly why getting to the founders before that machinery spins up matters.
Working at Prime Intellect
Since 2024, Prime Intellect has built compute plus RL tooling so enterprises can train their own agents instead of renting frontier models. The team is now people. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
Most openings are based out of San Francisco.
Frequently asked questions
How many jobs does Prime Intellect have open?
3 open roles at Prime Intellect, last checked July 2026.
Does Prime Intellect hire remotely?
Prime Intellect doesn't have remote openings at the moment. All roles are in San Francisco.
What roles is Prime Intellect hiring for?
Prime Intellect is hiring across Engineering. The most recent opening is Research Engineer (RL / Post-training).
How do I apply for a job at Prime Intellect?
Use the apply links above, or check our guide to getting hired at Prime Intellect.
Where is Prime Intellect based?
Prime Intellect is headquartered in San Francisco.
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