Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.
If you’ve built complex technical systems, contributed meaningfully to open-source projects, or mastered multiple domains, we want to hear from you. Whether your expertise is in AI, distributed computing, cryptography, systems programming, or something unexpected, what matters is your ability to learn fast, think rigorously, and execute.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.
Tell us what excites you about PrimeIntellect, something impressive that that you’ve built, and how you’d accelerate open and decentralized AGI.
Skills Required
- Experience building complex technical systems.
- Significant contributions to open-source projects.
- Expertise in AI, distributed computing, cryptography, or systems programming.
What We Do
Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.
