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Salary: USD 150,000 - 300,000 / annual
Prime Intellect is building the open superintelligence stack—infrastructure that frontier AI labs build internally, now available to every ambitious AI team. The company's platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale, from SFT and RL to tool use, agent workflows, and continuously improving production models. Prime Intellect has raised $150M from Founders Fund, Radical Ventures, NVIDIA, and exceptional operators including Andrej Karpathy, Dwarkesh Patel, and leaders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, and others.
As a Member of Technical Staff on the Prime Agent team, you will help build an open-source coding and research agent. This is a generalist software engineering role spanning product development and underlying agent systems. You will own features end-to-end, from design through deployment and monitoring, shipping at the pace of an early-stage company tackling one of the most important problems in AI.
Core responsibilities include: building intuitive interfaces for working with agents and managing their tasks; owning features end-to-end from design through deployment and operation; working with users to understand needs and turn feedback into product improvements; collaborating across the Prime ecosystem to build cloud agents, self-improving loops, and integrations for traces and post-training; working closely with researchers to turn new agent capabilities into reliable product features; and contributing to internal tooling, automation, and developer experience improvements.
This role is based in the San Francisco office. Candidates must be based in San Francisco and work in person; this is not a remote role and is not open in other locations.
REQUIREMENTS:
- Strong software engineering skills in TypeScript and Python
- Experience building developer tools, dashboards, platform products, and working with agent harnesses
- Strong product judgment and attention to user experience, with the ability to turn complex capabilities into intuitive workflows
- Experience building reliable systems with asynchronous execution and real-time interactions
- Awareness of what's happening at the frontier—new models, agent capabilities, and tooling—and the ability to translate that into product decisions
- A bias toward shipping, ownership of production code, and pragmatic engineering judgment
NICE TO HAVE:
- Experience building coding agents, agent harnesses, or developer tools powered by LLMs
- CLI or terminal UI development
- WebSocket / real-time systems experience
- Open-source contributions
- Prior experience at an early-stage startup
