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.
We’re building open superintelligence, and we want the way we work to reflect it. If a machine can take a recurring task off someone’s plate, you’ll be the person who makes it happen.
You’ll own the technology that keeps our humans and their agents moving: laptops, identity, SaaS, office IT, and the automations connecting them. You’ll make joining the team feel effortless and turn recurring headaches into things nobody has to think about again. You’ll work closely with our team, based in our San Francisco office.
Own our Mac fleet from first boot to retirement: purchasing, inventory, enrollment, setup, patching, encryption, and secure recovery.
Run identity and SaaS access across Google Workspace, SSO, and MFA. Give people and agents the access they need, with clear permissions, regular reviews, and reliable revocation.
Own onboarding, role changes, and offboarding, with devices ready and access set up or removed at the right time.
Keep the SF office running well, from Wi-Fi and meeting rooms to hardware, software, and vendors. You’ll have room to spot what could work better and make those improvements.
Thoughtfully put agents to work on provisioning, support triage, access requests, and repetitive admin.
Run endpoint controls, test recovery access, and partner with security on investigations and audit evidence. Turn the fixes people need into self-service tools and clear docs.
You’ve managed macOS devices, identity, SaaS tools, and office networks, and can work through issues across them.
You’ve built useful scripts, integrations, or automations that improved IT workflows.
You’re comfortable using AI tools to build and troubleshoot, with good judgment about permissions, secrets, and when to involve a person.
You can work independently, communicate clearly, and support colleagues with patience and care.
Base salary of $150,000-210,000, plus equity.
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.
Quarterly team off-sites, hackathons, conferences and learning opportunities.
Company-covered meals when working from our San Francisco office.
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