Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
This is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI.
Build intuitive web interfaces for AI workload management and monitoring
Develop REST APIs and backend services in Python
Own features end-to-end, from design through deployment and operation
Create real-time monitoring and debugging tools for users of the platform
Implement user-facing features for resource management and job control
Deploy and operate services on cloud infrastructure
Contribute to internal tooling, automation, and developer experience improvements
Strong Python backend development (FastAPI, async)
Modern frontend development (TypeScript, React/Next.js, Tailwind)
Experience building developer tools, dashboards, or platform products
RESTful API design and implementation
Comfortable working with cloud platforms (GCP a plus) and containerized deployments
A bias toward shipping, ownership of production code, and pragmatic engineering judgment
Infrastructure automation experience (Ansible, Terraform, Kubernetes)
Interest in or exposure to ML/AI workloads
WebSocket / real-time systems experience
Open-source contributions
Observability tooling (Prometheus, Grafana)
Prior experience at an early-stage startup
Cash compensation range of $150–300k 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 open AI development
You'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.
We value potential over perfection - if you're a strong generalist engineer who is passionate about democratizing AI development, we want to talk to you.
Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.
