Prime Intellect

Build the hosted training platform that lets AI teams launch and manage fine-tuning runs on managed GPU clusters. This hands-on role spans Kubernetes infrastructure, Python control-plane services, developer-facing APIs, and full-stack monitoring experiences.

Build the sandbox infrastructure and developer platform powering frontier-scale AI workloads. This hybrid systems role combines distributed orchestration, performance engineering, backend services, and workload-management interfaces.

Build the infrastructure that serves and optimizes large language models at frontier scale. This hybrid role combines cloud LLM serving, inference performance engineering, and integration with reinforcement learning systems.

Prime Intellect is seeking a customer-facing Member of Technical Staff to architect, deploy, and optimize large-scale GPU clusters for AI training, inference, and HPC workloads. The role combines hands-on infrastructure implementation, production support, and technical leadership across deployments of up to 10,000+ GPUs.

Build the developer-facing product surface for Prime Intellect’s frontier AI platform, spanning web interfaces, Python services, APIs, monitoring, and infrastructure. This generalist role owns features end to end from design through deployment and operation.

Build the compute platform powering frontier AI workflows, spanning backend services, web interfaces, distributed infrastructure, and automation. This hybrid role combines Python and Rust engineering with cloud, Kubernetes, scheduling, and observability work.

Build the systems infrastructure that powers frontier-scale reinforcement learning and distributed model training at Prime Intellect. You’ll optimize kernels, communication, runtimes, and training architectures across large GPU clusters while contributing to open-source infrastructure.

Prime Intellect is hiring a Research Engineer to advance large-scale reinforcement learning, synthetic data generation, and distributed AI inference. The role combines frontier research with open-source infrastructure development for AI training and deployment.