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Applied Compute

Custom AI models and enterprise agents

Design Engineer

Graphic DesignConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Strong brand and visual design skills, demonstrated by a portfolio of public-facing work.
  • Technical fluency and interest in research on post-training, reinforcement learning, and asynchronous training.
  • An engineer's instincts about the audience.
  • Ability and desire to execute design work personally, with strong opinions.
  • Comfort with ambiguity in a fast-moving market.

Responsibilities

  • Define the visual language, voice, and design philosophy for Applied Compute across the website and presentation decks.
  • Turn research into interactive experiences.
  • Develop a visual vocabulary for abstract infrastructure across models, weights, traces, inference, and continual learning.
  • Establish components, templates, and primitives that enable consistent delivery across sales collateral, go-to-market assets, and launches.
  • Push engineering and research teams on craft and partner closely with them on storytelling.

Desired Qualifications

  • Experience building brands for developer tools, infrastructure, or other abstract technical products.
  • Experience in data visualization or technical illustration.
  • Brand experience at a larger company or agency, combined with the appetite to work at startup speed.
  • A history of owning a project or product from zero to one.

About the Company

Applied Compute

Custom AI models and enterprise agents

Applied Compute creates customized AI capabilities for enterprises by building proprietary AI models and in-house AI agents, a concept they call Specific Intelligence. Its products train on a company’s own data and are fine-tuned for specific workflows, delivered via a vertically integrated platform that includes training infrastructure, an agent platform, and developer tools on a GPU cluster, with engineers embedded inside customer teams to accelerate deployment. The company differentiates itself by focusing on proprietary data, maintaining its own tech stack, and embedding its engineers with customers to deliver deeply integrated solutions that are hard for competitors to copy. Its goal is to give enterprises a competitive edge by deploying production-ready AI agents and models that fit seamlessly into business operations and processes.

Company size
11-50
Company stage
Series C
Total funding
$510M
Headquarters
San Francisco, CA
Founded
2025

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