Primeintellect · San FranciscoPrepare for this interview
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Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infrastructure 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, and we build the developer platform that makes all of it usable. 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. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI), and many others. Role Impact 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. 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 resource 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)
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