Member of Technical Staff - Prime Agent

The role

You will help build Prime Agent, an open-source coding and research agent. This generalist software engineering role spans product development and underlying agent systems.

What you will do

• Build intuitive interfaces for working with agents and managing their tasks
• Own features end-to-end, from design through deployment and operation
• Work with users to understand their needs and turn feedback into product improvements
• Work closely with teams across the Prime ecosystem to build cloud agents, self-improving loops, and integrations
• Work closely with researchers to turn new agent capabilities into reliable product features
• Contribute to internal tooling, automation, and developer experience improvements

Required qualifications

• 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
• 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
• 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

Benefits

• Cash compensation range of $150,000–$300,000 with significant equity incentives
• In-person collaboration in our San Francisco office
• Full visa sponsorship and relocation support
• Professional development budget for courses and conferences
• Regular team off-sites and conference attendance

Before you apply

• Candidates must be based in San Francisco
• Full visa sponsorship and relocation support offered

About the company

Prime Intellect is building the open superintelligence stack. The platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment.