Member of Technical Staff - Full Stack Software Engineer

Own Your Intelligence 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 inters [... source excerpt omitted ...] 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. Core Responsibilities 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 [... source excerpt omitted ...] ource management and job control Deploy and operate services on cloud infrastructure Contribute to internal tooling, automation, and developer experience improvements Technical Requirements 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) Nice to Have Interest