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Developer Relations Engineer

Prime Intellect · San Francisco

Infrastructureonsite$150k–$250k
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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
More about Prime Intellect →
Apply on the lab’s site ↗

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