Member of Technical Staff - Full Stack Software Engineer
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
Build the developer-facing platform, APIs, and services used to train and deploy frontier models. Own features from design through deployment and monitoring, develop web interfaces and Python backend services, create real-time tools, operate cloud services, and improve internal tooling and developer experience.
Requirements
- Strong Python backend development with FastAPI and async
- Modern frontend development with TypeScript, React/Next.js, and Tailwind
- Experience building developer tools, dashboards, or platform products
- RESTful API design and implementation
- Cloud platforms and containerized deployments
- Production code ownership and pragmatic engineering judgment
- Infrastructure automation experience with Ansible, Terraform, and Kubernetes
- ML/AI workload exposure
Responsibilities
- Build web interfaces for AI workload management and monitoring
- Develop REST APIs and Python backend services
- Own features from design through deployment and operation
- Create real-time monitoring and debugging tools
- Implement resource management and job control features
- Deploy and operate cloud services
- Improve internal tooling, automation, and developer experience
Benefits
- Cash compensation of $150,000–$300,000 with significant equity incentives
- Flexible work arrangement with remote or San Francisco office options
- 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 open AI development