Figma
Senior
Build the agent infrastructure and platform primitives behind every Figma AI feature
Figma's AI Platform team builds the shared frameworks other AI product teams build on — agent infrastructure, agentic search/context retrieval, the Figma MCP server, and the preview/publishing platform for Figma Make. This is a senior infrastructure/platform role (5+ years SWE, 3+ years in AI/search/dev-platforms) requiring strong system design and cross-team technical leadership.
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What this interview tests
- Agent infrastructure: sandboxes, harnesses, and tools for AI coding agents
- Agentic search, context retrieval, and ranking for LLM-powered features
- Designing platform APIs/primitives with contracts other teams adopt
- Preview and publishing platforms for AI-generated code (Figma Make)
- System design for scalable, reliable, performant AI infrastructure
- Cross-team technical strategy and mentorship
Common question themes
Design an agentic search system that retrieves relevant context for an AI coding agent.
Tell me about a platform API or primitive you built that other teams adopted — what made the contract work?
Walk me through debugging a production issue that spanned multiple services.
How would you build evaluation frameworks for AI-generated design or code quality?
Describe a time you set technical direction across multiple teams and how you documented the decision.
What tradeoffs would you make designing a sandbox environment for untrusted agent-generated code?
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