Prime Intellect Opens 25+ AI Infrastructure Roles

Prime Intellect is betting that open AI progress depends as much on training infrastructure and agent environments as on model weights.

• –Hiring targets the bottlenecks behind agentic RL: distributed training, evaluation, inference, and secure sandboxes
• –Its Lab platform combines compute, environments, hosted training, evaluations, and deployment into one developer workflow
• –Open-source frameworks such as prime-rl and verifiers give researchers reusable infrastructure rather than isolated model checkpoints
• –The breadth of hiring signals an ambition to compete as a full-stack AI infrastructure company, not merely a model lab