Senior Frontend Engineer, Design Systems
We’re looking for a Senior Engineer to help shape and build our design system with a strong emphasis on AI-native workflows. This role sits within the design function and focuses on translating design into code while enabling AI to meaningfully participate in that process. The role also explicitly includes designer enablement — creating low-friction workflows, templates and coaching so designers can rapidly prototype and become confident “design-and-build” prototypers. You will define how the design system is structured so it can power AI-driven design-to-code workflows, and ensure designs can be efficiently generated, validated and maintained in code. We’re looking for a Senior Engineer to help shape and build our design system with a strong emphasis on AI-native workflows. This role sits within the design function and focuses on translating design into code while enabling AI to meaningfully participate in that process. The role also explicitly includes designer enablement — creating low-friction workflows, templates and coaching so designers can rapidly prototype and become confident “design-and-build” prototypers. You will define how the design system is structured so it can power AI-driven design-to-code workflows, and ensure designs can be efficiently generated, validated and maintained in code.
Responsibilities
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Build and maintain production-ready UI components that accurately reflect design intent
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Use AI tools to accelerate implementation, iteration, and refinement of components
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Validate AI-generated outputs to ensure quality, accessibility, and consistency
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Shape the design system (tokens, components, patterns) to be machine-readable and AI-friendly
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Contribute to workflows that enable design-to-code generation using AI, and ensure components include the metadata AI needs to generate and validate code.
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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.
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Act as a core member of the design team, participating in critiques and explorations
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Provide technical perspective during design to ensure outputs are scalable and implementable
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Help designers understand how their work can better support AI-driven development
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Improve integration between design tools (e.g., Figma) and engineering outputs
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Use AI to generate documentation, specs, and component usage guidelines
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Explore AI-assisted approaches to testing (visual regression, accessibility) and validation
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Prototype and experiment with new AI-driven workflows for design systems
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Ensure high fidelity between design and implementation
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Maintain accessibility and inclusive design standards across components
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Contribute to shared standards that improve system consistency across design and code
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Create documentation and examples that serve both designers and engineers
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Support teams in using the design system effectively
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Advocate for workflows that improve speed without compromising qualit
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A design system that can be effectively leveraged by AI for generation, validation, and maintenance
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Faster iteration from design to production through AI-assisted workflows
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High fidelity between design intent and shipped UI, even with AI in the loop
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Increased efficiency for both designers and engineers using the system
Design-to-Code Execution (AI-Enhanced)
AI-Driven Design System Enablement
Embedded Collaboration with Design
Tooling & Workflow Innovation
Consistency, Quality & Accessibility
Adoption & Advocacy
Skills & Experience
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~4–6 years of experience in front-end engineering, design engineering, or design systems
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Strong proficiency in HTML, CSS, JavaScript/TypeScript
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Experience building UI components in modern frameworks (Vue, React, etc.)
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Strong design sensibility and attention to detail (visual and interaction)
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Experience working closely with design tools (e.g., Figma, tokens, variants)
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Experience or strong interest in AI-assisted design and development workflows
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Understanding of accessibility and inclusive design practices
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Familiarity with design tokens and system architecture across design and code
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Ability to operate fluently between design and engineering contexts