Figma

Software Engineer, Code Platform

San Francisco, CA • New York, NY • United States

Found: Yesterday

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!

Figma is a critical part of modern product development, where design and code are core primitives in how builders create, iterate, and ship products. Figma's Code Platform team builds the foundational infrastructure that enables seamless translation between design, code, and AI-powered creation. From LLM-powered code generation to agentic design-to-code workflows, we're integrating AI deeply into how developers experience Figma. Our work powers products such as Make, Prompt to Edit, MCP, and other Figma surfaces.

Our mission is to power the interoperability of design ↔ code so it can be seamless and magical for our customers, while remaining ergonomic, scalable, and extendable for the company. As AI becomes central to how products are built in the industry, Code Platform sits at the intersection of design, engineering, and AI enabling the next generation of creation tools.

We're hiring engineers to join Code Platform to work on our core code translation infrastructure. This role will focus primarily on deep technical execution, and depending on level and experience, may also include technical leadership responsibilities such as architectural ownership, mentoring, and driving multi-quarter initiatives.

You'll build AI forward systems that translate between structured design models, and LLM-friendly representations, and balancing deterministic solutions with AI generated solutions across latency and correctness across Figma. This is a rare opportunity to improve and evolve one of the most strategically important abstractions in the company.

What you'll do at Figma:

  • 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

We'd love to hear from you if you have:

  • 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

While it's not required, it's an added plus if you also have:

  • 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

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