Responsibilities

Design-to-Code Execution (AI-Enhanced)

• Build and maintain production-ready UI components that accurately reflect design intent

• Use AI tools to accelerate implementation, iteration, and refinement of components

• Validate AI-generated outputs to ensure quality, accessibility, and consistency

AI-Driven Design System Enablement

• Shape the design system (tokens, components, patterns) to be machine-readable and AI-friendly

• Contribute to workflows that enable design-to-code generation using AI, and ensure components include the metadata AI needs to generate and validate code.

• Identify opportunities where AI can reduce manual effort in component creation and maintenance, including using AI to scaffold components, run linting, generate tests and produce documentation.

Embedded Collaboration with Design

• Act as a core member of the design team, participating in critiques and explorations

• Provide technical perspective during design to ensure outputs are scalable and implementable

• Help designers understand how their work can better support AI-driven development

Tooling & Workflow Innovation

• Improve integration between design tools (e.g., Figma) and engineering outputs

• Use AI to generate documentation, specs, and component usage guidelines

• Explore AI-assisted approaches to testing (visual regression, accessibility) and validation

• Prototype and experiment with new AI-driven workflows for design systems

Consistency, Quality & Accessibility

• Ensure high fidelity between design and implementation

• Maintain accessibility and inclusive design standards across components

• Contribute to shared standards that improve system consistency across design and code

Adoption & Advocacy

• Create documentation and examples that serve both designers and engineers

• Support teams in using the design system effectively

• Advocate for workflows that improve speed without compromising qualit

• A design system that can be effectively leveraged by AI for generation, validation, and maintenance

• Faster iteration from design to production through AI-assisted workflows

• High fidelity between design intent and shipped UI, even with AI in the loop

• Increased efficiency for both designers and engineers using the system

Skills & Experience

• ~4–6 years of experience in front-end engineering, design engineering, or design systems

• Strong proficiency in HTML, CSS, JavaScript/TypeScript

• Experience building UI components in modern frameworks (Vue, React, etc.)

• Strong design sensibility and attention to detail (visual and interaction)

• Experience working closely with design tools (e.g., Figma, tokens, variants)

• Experience or strong interest in AI-assisted design and development workflows

• Understanding of accessibility and inclusive design practices

• Familiarity with design tokens and system architecture across design and code

• Ability to operate fluently between design and engineering contexts