Engineering

Operations

Marketing

Business Development

Arts and Design

Sales

Research

Finance

Entrepreneurship

Johannes Hagemann

co-founder / CTO

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

Why Is Web3 Losing the AI Race?

Forward-Deployed Research Engineer

Prime Intellect builds infrastructure for frontier AI labs and is seeking a Forward-Deployed Research Engineer to serve as the primary technical interface with key customers. The role involves embedding with customers to understand their needs and translating those into effective training runs and environment designs using the Lab stack.

Applied Research - Forward-Deployed

Prime Intellect is building the infrastructure for frontier AI labs and is seeking a Forward-Deployed Research Engineer to serve as the primary technical interface with customers. The role involves embedding with clients to understand their needs and translating those into training runs and environment designs using the Lab stack.

Compute Partnerships Lead

Prime Intellect is building the open superintelligence stack, enabling researchers and enterprises to run end-to-end reinforcement learning at frontier scale. They are seeking a Compute Partnerships Lead to architect and operate their global compute supply strategy, managing GPU capacity across various partners to support enterprise deployments and internal research.

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.

Member of Technical Staff - GPU Infrastructure

Prime Intellect is building the open superintelligence stack, and they are seeking a Solutions Architect for GPU Infrastructure to transform customer requirements into production-ready systems for training advanced AI models. This role involves designing optimal GPU cluster architectures, deploying orchestration systems, and providing technical support for customer infrastructure issues.

Research Engineer - Distributed Training

Prime Intellect is building the open superintelligence stack, and they are seeking a Research Engineer to work on Distributed Training. This role involves leading research efforts to create a decentralized training orchestration solution and optimizing AI workload performance.

Research Engineer - Reinforcement Learning

Prime Intellect is building the open superintelligence stack, enabling researchers, startups, and enterprises to run end-to-end reinforcement learning at frontier scale. As a Research Engineer in the Reasoning team, you'll focus on test-time compute scaling research and contribute to the development of synthetic data generation pipelines and distributed RL frameworks.

Solutions Architect for GPU Infrastructure

Prime Intellect is enabling the next generation of AI breakthroughs by assisting customers in deploying and optimizing GPU clusters. As a Solutions Architect for GPU Infrastructure, you will transform customer requirements into production-ready systems for training advanced AI models, while also designing optimal GPU cluster architectures and providing technical support.

Applied Research - Evals & Data

Prime Intellect builds infrastructure for frontier AI labs, offering a platform that unifies various systems for AI training and deployment. The role involves advancing AI agent capabilities, building robust infrastructure, and acting as a bridge between customers and research to ensure real-world applications inform model development.

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 involves designing advanced AI agents, developing robust infrastructure, and translating customer insights into technical requirements to shape product and research priorities.