Senior Design Engineer, AI Platforms

We are looking for a design engineer to own the interfaces of the platforms Chess.com runs on: Engage-o-tron, our growth platform; GNS, our AI-native knowledge and agent platform; and the internal admin tools our teams live in every day.

These are internal products, and that's the appeal. Your users are experts, they use these tools all day, and what they build in them reaches 250M+ players. The work is dense, technical, and high-leverage. You'll decide how something should look, feel, and work, then ship it yourself — no handoff, no spec thrown over a wall.

Two kinds of people fit this role: the full-stack designer who's dreamed something up, designed it, built it, and launched it end to end, or the strong front-end engineer with real design taste, someone who codes for a living but has defensible opinions about type, layout, motion, and information density.

100% remote, open to candidates who can work with at least 3 hours' overlap with Eastern Time Zone.

Required

• Hands-on experience prompting and building with AI-native development tools like Claude Code, Cursor, as part of daily workflow
• Cares deeply about polish — defensible, articulate taste in typography, spacing, layout, micro-interactions, transitions, and information density
• Strong practical skills in modern web technologies (TypeScript, Vue, React or equivalent), with real experience building and owning a design system in code
• Contributed to open source UI libraries or design resources
• Strong collaboration and communication skills working in a fully distributed team
• Sense of ownership and responsibility

Preferred

• Strong UX and visual design skills with proven taste and craftsmanship
• Ability to move fluidly between design tools (Figma, etc.) and frontend code
• Background in internal tools, admin dashboards, or developer-facing products
• Instincts for prompt engineering and LLM integration, and for how model behavior (latency, streaming, uncertainty, failure modes) should surface in the UI
• Experience building AI-native interface patterns: streaming output, agentic or long-running tasks, or tool-calling surfaces
• Comfort designing or consuming APIs that serve front-end applications