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Member of Technical Staff - Full Stack

United States, San Francisco · Job Posted February 21, 2026
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Job Description

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.

Job Responsibility

  • 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
  • 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)

Requirements

  • Strong Python backend development (FastAPI, async)
  • Modern frontend development (TypeScript, React/Next.js, Tailwind)
  • Experience building developer tools and dashboards
  • RESTful API design and implementation
  • Systems programming experience with Rust
  • Infrastructure automation (Ansible, Terraform)
  • Container orchestration (Kubernetes)
  • Cloud platform expertise (GCP preferred)
  • Observability tools (Prometheus, Grafana)

Nice to have

  • Experience with GPU computing and ML infrastructure
  • Knowledge of AI/ML model architecture and training
  • High-performance networking implementation
  • Open-source infrastructure contributions
  • WebSocket/real-time systems experience

What we offer

  • Competitive compensation with significant equity incentives
  • Flexible work arrangement (remote or San Francisco office)
  • Full visa sponsorship and relocation support
  • Professional development budget for courses and conferences
  • Regular team off-sites and conference attendance
  • Opportunity to shape the future of decentralized AI development

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