Member of Technical Staff - Full Stack
BUILDING OPEN SUPERINTELLIGENCE INFRASTRUCTURE
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.
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.
ROLE IMPACT
This is a hybrid role spanning both our developer platform and infrastructure layers. You'll work on two key areas:
1. Our developer-facing platform for AI workload management
2. The underlying distributed infrastructure that powers our training systems
CORE TECHNICAL RESPONSIBILITIES
Platform Development
- Build intuitive web interfaces for AI workload management and monitoring
- Develop REST APIs and backend services in Python
- Create real-time monitoring and debugging tools
- Implement user-facing features for resource management and job control
Infrastructure Development
- Design and implement distributed training infrastructure in Rust
- Build high-performance networking and coordination components
- Create infrastructure automation pipelines with Ansible
- Manage cloud resources and container orchestration
- Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)
TECHNICAL REQUIREMENTS
Platform Skills
- Strong Python backend development (FastAPI, as...