Key skills
TypeScriptJavaScriptReactJSXASTsCode transformationCompilation conceptsLLM integrationAI model integrationPerformance debuggingPlatform engineeringInfrastructure engineeringAPI developmentSerialization pipelinesAILLMRAGAgenticFigma
About this role
Figma is a company on a mission to make design accessible to all, and they are seeking engineers to join their Code Platform team. This role focuses on building foundational infrastructure for code translation, integrating AI into workflows, and enhancing product performance and observability.
Responsibilities:
- Design, build, and improve code ↔ design translation pipelines, including AI-powered and agentic workflows
- Build and iterate on LLM integrations that power code generation, design interpretation, and agentic feature surfaces
- Design evaluation frameworks for AI-generated code outputs quality, correctness, and format fidelity
- Diagnose and resolve performance bottlenecks and long-running tasks that impact product SLAs
- Improve correctness, reconciliation, and fidelity across complex design system and layout edge cases
- Build scalable serialization pipelines, internal APIs, and platform utilities
- Partner with product leads to define long term product enablement and build foundational infra
- Improve observability and ownership of key metrics (latency, success rate, correctness)
- Support and drive architectural direction and long-term platform strategy for a translation surface
- Mentor engineers and shape the long-term team structure
Requirements:
- 5+ years of software engineering experience, especially in web, platform, or infrastructure engineering
- Strong TypeScript/JavaScript and modern frontend fundamentals
- Deep experience with declarative UI systems (React, JSX, or similar)
- Familiarity with ASTs, code transformation, or compilation concepts
- Experience building features that integrate LLMs or AI models into a product not just using AI tools, but shipping with them
- Experience debugging performance, rendering, or pipeline latency issues
- Experience building complex, cross-team platforms with multiple stakeholder groups
- Experience with prompt engineering, RAG patterns, or model evaluation
- Experience with code generation models or AST-level code manipulation
- Prior work on agentic workflows or multi-step LLM pipelines
- Experience with MCP, tool-use APIs, or AI developer ecosystems
- Experience building design systems or component libraries
- Platform or infrastructure engineering experience (APIs, observability, SLAs)
- Rendering, layout, or graphics pipeline knowledge