Member of Technical Staff - Sandbox Platform
Prime Intellect provides an open superintelligence stack for training, evaluating, deploying, and continuously improving AI agents and models. Its platform combines RL environments, hosted training, inference, GPU compute, secure sandboxes, and open-source research tooling for researchers, startups, and enterprises.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Prime Intellect, Inc.
Prime Intellect operates an integrated AI infrastructure platform spanning Lab, hosted reinforcement-learning training, evaluations, environments, inference, secure sandboxes, and on-demand or reserved GPU compute. It also develops open-source tools including Verifiers, prime-rl, and Prime Agent, supporting workflows from environment creation and model evaluation through post-training and production deployment. The company serves researchers, startups, enterprises, and teams building agentic AI systems, with customer examples including Ramp and Zapier.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design distributed sandbox infrastructure in Go and Rust, build networking and scheduling components, manage cloud resources and Kubernetes orchestration, and develop Python backend services, REST APIs, dashboards, monitoring tools, and user-facing workload management features.
Requirements
- Systems programming experience with Rust
- Strong Linux systems knowledge
- Virtualization experience with VMs and hypervisors
- Ansible
- Terraform
- Kubernetes
- GCP
- Prometheus
- Grafana
- Python backend development
- FastAPI
- Async programming
- TypeScript
- React
- Next.js
- Tailwind
- Developer tools
- RESTful API design
Responsibilities
- Design and implement distributed orchestration infrastructure in Go and Rust
- Build high-performance networking and coordination components
- Create infrastructure automation pipelines with Ansible
- Manage cloud resources and container orchestration
- Implement scheduling systems for CPU, GPU, and TPU hardware
- Build web interfaces for AI workload management and monitoring
- Develop REST APIs and Python backend services
- Create real-time monitoring and debugging tools
- Implement resource management and job control features
Benefits
- Significant equity incentives
- Flexible work arrangement
- Full visa sponsorship
- Relocation support
- Professional development budget
- Regular team off-sites
- Conference attendance
