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AI Infrastructure Engineer

Spellbrush· Engineering
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Tokyo, JP, San Francisco, CA, Remote$75k - $200kFull-timePosted 11mo ago

About the role

Builds end-to-end ML infrastructure for generative AI models across platforms, focusing on scalable inference architecture and GPU workloads.

Responsibilities

  • Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.).
  • Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users.

Qualifications

  • Experience with large distributed systems
  • Familiarity with K8S, Kafka, NATS, Redis, etc.
  • Deep understanding of GPU workloads and deployment/optimization
  • Ability to work on small, fast-paced teams

Skills

Required:Distributed SystemsGPU Workload Handling

Benefits

  • generous compensation package including equity
  • top-tier employer-sponsored health, dental, and vision insurance
  • additional perks
Last updated Mar 18, 2026. Interested? Apply on the company site.
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About Spellbrush

Making Anime Real

Here at Spellbrush, we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio — we're the team behind niji・journey. We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: video games. Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts.

deep-learninggenerative-aigamingai
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