Member of Technical Staff
Prime Intellect
Member of Technical Staff
Prime Intellect
Open frontier-model stack for enterprise RL
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.
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.
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
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
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
In-person collaboration with the Prime Agent team in our San Francisco office
Cash compensation range of $150,000–$300,000 with significant equity incentives
Full medical, dental and vision coverage for employees and dependents.
Flexible PTO.
$200/month health and wellness benefit.
Full visa sponsorship and relocation support
Professional development budget for courses and conferences.
Team off-sites and conference attendance.
Company-covered meals when working from our San Francisco office.
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.
Open frontier-model stack for enterprise RL
Prime Intellect provides an open, end-to-end superintelligence stack for enterprises to train and continually improve their own AI agents. The platform includes scalable compute, large-scale reinforcement learning, environments, sandboxes, evaluations, and deployment tools, and it ships open frontier models to customers. It covers the full lifecycle from training to deployment plus post-training support, enabling agentic training at scale. Its differentiator is the open, end-to-end stack used across thousands of customers with strong backing from top investors, and its goal is to help organizations build and iteratively improve their AI agents using open frontier models.
Explore more opportunities at Prime Intellect