Design Engineer: Frontend & Design Systems Architect

GC AI

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

GC AI is seeking a Design Engineer to bridge design and engineering across our legal AI platform. You’ll shape the design system, architect front-end solutions, and ensure intuitive experiences for legal professionals.

You’ll mentor engineers, build reusable components, and collaborate with product and AI teams to translate concepts into production-ready code. This distributed team emphasizes asynchronous communication and impactful work.

Qualifications

  • 5+ years of experience in front-end development with a strong design sensibility.
  • Expert-level knowledge of HTML, CSS, JavaScript/TypeScript, and React.
  • Deep experience with modern front-end frameworks (React preferred).
  • Strong understanding of design systems and component-based architecture.

Responsibilities

  • Architect and implement complex UI components and systems that balance aesthetics with technical performance.
  • Lead the technical implementation and evolution of our design system across our marketing.
  • Create prototypes to explore new interaction models and validate design concepts for legal workflows.
  • Establish best practices for front-end development and component architecture.
  • Mentor engineers on design principles and implementation techniques.
  • Develop tools and processes to improve design-to-development workflow.
  • Contribute to design reviews.
  • Champion accessible, responsive, and performant user interfaces for legal teams.
  • Build marketing landing pages.

Skills

Front-end development
Design sensibility
HTML/CSS/JS/TS
React
Design systems

Tools

Framer

Job description

GC AI is seeking a Design Engineer to bridge design and engineering across our legal AI platform. You’ll shape the design system, architect front-end solutions, and ensure intuitive experiences for legal professionals.

You’ll mentor engineers, build reusable components, and collaborate with product and AI teams to translate concepts into production-ready code. This distributed team emphasizes asynchronous communication and impactful work.

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