Engineering

Operations

Marketing

Business Development

Arts and Design

Sales

Research

Finance

Entrepreneurship

Johannes Hagemann

co-founder / CTO

Decentralized Training Can Help Solve AI’s Energy Woes

Using only 512 H200s, the 106B model breaks through with distributed RL and is open-sourced across the network.

Prime Intellect debuts INTELLECT-3, an RL-trained 106B parameter open source MOE model it claims outperforms larger models across math, code, science, reasoning (Prime Intellect)

This Startup Wants to Spark a US DeepSeek Moment

Member of Technical Staff - Full Stack Software Engineer

Prime Intellect is building the open superintelligence stack, enabling researchers, startups, and enterprises to run end-to-end reinforcement learning at frontier scale. The role focuses on building the developer-facing platform, APIs, and services, with responsibilities ranging from feature design to deployment and monitoring.

Member of Technical Staff - Sandbox Platform

Prime Intellect is building the open superintelligence stack, enabling users to create, train, and deploy AI models. The role involves developing both the underlying sandbox infrastructure and a developer-facing platform for AI workload management, focusing on performance engineering and distributed systems.

Member of Technical Staff - Inference

Prime Intellect is building the open superintelligence stack, enabling researchers and enterprises to run end-to-end reinforcement learning at frontier scale. The role focuses on advancing LLM serving and inference optimization within the company's RL training stack.

Member of Technical Staff - Training Platform

Prime Intellect is building the open superintelligence stack, and they are seeking a Member of Technical Staff to help build their hosted training platform. This role involves designing and operating Kubernetes-based training infrastructure and developing developer-facing surfaces for hosted training.

Prime Intellect is building the open superintelligence stack, and they are seeking a Member of Technical Staff to help build their hosted training platform. The role involves designing and operating Kubernetes-based training infrastructure and developing the developer-facing surfaces for hosted training.

Prime Intellect is building the open superintelligence stack, enabling anyone to create, train, and deploy AI models. The role involves developing infrastructure and a developer-facing platform for AI workload management, focusing on performance engineering and distributed systems.

Solutions Architect - AI Infrastructure

Prime Intellect builds the infrastructure that frontier AI labs build internally, and makes it available to everyone. The Solutions Architect - AI Infrastructure role focuses on customer success, technical operations, and AI infrastructure delivery, helping customers onboard, deploy, and scale on the platform while improving internal systems and processes.

Research Engineer - RL Infrastructure

Prime Intellect is building the open superintelligence stack, and they are seeking a Research Engineer to work on the systems layer behind large-scale RL training. The role involves optimizing performance and improving the efficiency of distributed training systems.

Applied Research - RL & Agents

Prime Intellect is building the open superintelligence stack, enabling researchers and enterprises to run end-to-end reinforcement learning at scale. The role involves designing advanced AI agents, developing robust infrastructure, and bridging customer needs with research priorities.

Prime Intellect is building the open superintelligence stack, enabling anyone to create, train, and deploy advanced AI models. The Member of Technical Staff will focus on building infrastructure for LLM serving and optimizing inference systems within their RL training stack.