Member Of Technical Staff

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 intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.

Role Impact

You'll help build Prime Agent, our open-source coding and research agent. This is a generalist software engineering role spanning product development and the underlying agent systems. 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.

This role is based in our 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.

Core Responsibilities

• 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 for traces and post-training

• Work closely with researchers to turn new agent capabilities into reliable product features

• Contribute to internal tooling, automation, and developer experience improvements

Technical 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

What We Offer

• Cash compensation range of $150,000–$300,000 with significant equity incentives

• In-person collaboration with the Prime Agent team 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

• Opportunity to shape the future of open AI development

Growth Opportunity

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.