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Prime Intellect

Design Engineer

San Francisco / Remote+ EquityYesterday3/5
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Our take

Decentralized AI training is a frontier space and Prime Intellect needs someone who can make complex infrastructure feel intuitive. Design engineering at the intersection of AI and distributed systems.

Job description

# Lead Design Engineer @ Prime Intellect

Company Overview

Prime Intellect makes frontier AI accessible to everyone. We are both a full-stack platform and an open research lab, enabling individuals and organizations to train their own models by directly leveraging our state-of-the-art agentic training infrastructure.

We believe in a future where the ability to produce domain-specific frontier AI is democratized, and where everyone company can be an AI company that builds, trains, deploys, and ultimately owns their own models.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), and many others.

Position Overview

We are seeking a Lead Design Engineer to build and shape the product experience of how our users train and evaluate models on our platform.

This is a novel design space, and you'll work directly with our research teams on shaping the experience between using our software frameworks, CLI tools, and platform to with the goal of making it as easy as possible for any software engineer to learn to train models, without needing prior knowledge of AI/ML research.

You'll also interface with our talented design team on levelling up our platform aesthetics and brand.

Core Responsibilities

Product Development & Implementation

  • Design and implement interfaces across the platform covering compute orchestration and RL training
  • Translate complex backend systems into intuitive, production-ready product experiences
  • Own end-to-end product development from concept to deployment
  • Build and maintain a scalable design system with reusable components

    • Developer Experience Engineering

  • Build for technical audiences: AI engineers and general software engineers
  • Convert RL concepts into usable visual primitives and interactive workflows
  • Implement platform developer tools including onboarding flows and debugging interfaces
  • Create seamless interactions between frameworks and platform UI

    • Required Qualifications

  • Strong portfolio demonstrating shipped technical or data-driven tool interfaces
  • Proficiency with modern frontend frameworks (We use Next.js)
  • Experience designing and building for developers in technical domains
  • Familiarity with AI/ML concepts and workflows
  • Systems thinking: ability to create scalable, maintainable component architectures

    • Nice-to-Have Skills

  • Experience building ML research tools, IDEs, or developer platforms
  • Backend development capabilities (Python, Node.js)
  • Animation and interaction design
  • Data visualization experience
  • Design tool proficiency (We use Figma)

    • Compensation & Benefits

  • Competitive salary with significant equity
  • Remote-first with San Francisco hub option
  • Tool/software budget
  • Conference attendance opportunities

    • ---

    If you see design as more than visuals—if you shape experiences, interfaces, and systems with precision and intent—we want to build with you.

    Apply now.

    About Prime Intellect

    Decentralized AI training infrastructure

    ai
    primeintellect.ai

    Interested in this role?

    Apply directly on Prime Intellect's careers page.

    Apply now