Developer Relations Engineer

The role

You will help developers build with Model Factory by creating documentation and practical tutorials. You will take them from a first training run to improving a model on their own tasks, working with researchers and engineers.

What you will do

• Own the Model Factory documentation, from first quickstart to advanced workflows with reliable API and SDK examples.
• Build runnable tutorials that follow a model through the improvement cycle, from investigating failures in traces to SFT or RL training.
• Turn internal research and engineering workflows into reproducible examples developers can adapt.
• Publish documentation alongside new capabilities and maintain example code as the platform evolves.
• Observe developers using Model Factory and work with Product and Engineering to resolve points of confusion.
• Create technical content, including hands-on workshops where developers work through a training workflow with you.
• Support developers building on prime-rl and Verifiers, helping them contribute environments and examples to the open-source community.
• Use tutorial completion and time to a first successful workflow to assess developer experience and prioritize improvements.

Required qualifications

• A public track record of useful technical work and an established, engaged following in the developer or AI community, with evidence your content or projects helped people adopt a tool or build someth
• Recent hands-on software or ML engineering experience, with strong Python skills and code you personally built and maintained.
• Experience explaining complex technical concepts through documentation or working examples that let developers reproduce results and understand limitations.
• A working understanding of LLM training and evaluation, and the ability to learn unfamiliar post-training techniques through practical experimentation.
• The ability to take a documentation or tutorial project from an initial user problem through to a tested release, incorporating user feedback.
• Experience working closely with engineers or researchers to understand technical details and turn developer feedback into practical improvements.

Nice to have

• Hands-on work with SFT or RL, including designing evaluations and rewards for agent environments.
• Contributions to open-source ML infrastructure or developer tools.
• Maintaining documentation and example repositories alongside a changing product, including automated checks for broken examples.
• Teaching technical audiences through workshops or hands-on community support.

Benefits

• Competitive base salary and 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 the San Francisco office.

Before you apply

• Visa sponsorship is offered in full.
• Share links to your technical work and the audience you've built, explaining your personal contribution and the engagement or adoption it generated.

About the company

Prime Intellect is building the open superintelligence stack, an infrastructure platform called Lab for post-training frontier-scale AI models. The company has raised $150M in total funding.