Developer Relations Engineer
Prime Intellect · San Francisco
Infrastructureonsite$150k–$250k
At a glance
Highlights
- Own Model Factory documentation from first quickstart to advanced workflows.
- Turn internal research workflows into reproducible tutorials and live workshops.
- Improve developer experience using completion data and direct user feedback.
What they offer
- Competitive base salary and equity
- Full medical, dental and vision coverage for employees and dependents
- Flexible PTO
- $200/month health and wellness benefit
- 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
Ideal candidate
Engaged AI community builder who loves turning complex research into clear, hands-on learning. You enjoy teaching developers, maintaining examples, and bridging research and product to improve the building experience.
Requirements
- Public track record of useful technical work and engaged following in developer or AI community with evidence of driving adoption
- Recent hands-on software or ML engineering experience with strong Python skills and maintained code examples
- Experience explaining complex technical concepts through documentation or working examples that enable reproduction
- Working understanding of LLM training and evaluation with ability to learn post-training techniques by experimentation
- Ability to take documentation or tutorial project from user problem to tested release incorporating user feedback
- Experience working closely with engineers or researchers to translate developer feedback into practical improvements
- visa sponsorship
- Full visa sponsorship and relocation support
Lab profile
About Prime Intellect
Building the open superintelligence stack for post-training frontier AI at scale
What they build
- Lab platform
- Compute and environments
- Evaluations
Known for
- Post-training at frontier scale
- SFT and RL
- Tool use and agent workflows
- High-performance training infrastructure
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