About Figma
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!
About the AI Platform Teams
Our AI Platform teams build the core frameworks and systems that support AI features across Figma, from infrastructure for training cutting-edge models to platforms for writing agentic product functionality.
We’re hiring across several different teams:
- Modeling Platform: Develops infrastructure for training, evaluating, deploying, and serving the AI models used across Figma. Partners with our AI Research team to accelerate the end-to-end model development lifecycle, from experimentation to production.
- Agent Platform: Builds the frameworks and systems powering agentic AI features throughout Figma’s products. Partners with our product and infrastructure teams to unlock new AI capabilities, improve the development velocity of AI engineers, and ensure all of our AI features are reliable, performant, and high-quality.
- Search & Recommendations: Builds our platform for context-gathering for agents, surfacing content across the Figma ecosystem (text, design systems, and more) by combining traditional search, recommendation, and information retrieval infrastructure with modern agentic search capabilities. Partners with product teams across our AI organization to develop highly reliable and performant systems that improve AI quality.
- Make Platform: Builds systems that power a new way of creating and shipping software, where code, tooling, and runtime environments come together seamlessly. This includes standing up and managing sandboxed environments that can reliably run real applications, designing flexible pipelines that build and preview projects across a wide range of application frameworks, and integrating deeply with codebases to keep development state consistent as it evolves. The work spans distributed systems, developer infrastructure, and product-facing reliability challenges, with a focus on making complex workflows feel fast, intuitive, and dependable.
- Extensibility: Responsible for our plugin, widget, and REST APIs that enable developers to build their own Figma integrations. Partners with our product teams to develop our recently-launched MCP offerings and server platforms that integrate Figma into the wider AI ecosystem.
We’re looking for engineers with a background in platform engineering or machine learning to strengthen our foundational AI systems & frameworks. As a member of our AI Platforms teams, you’ll play a critical role in developing cutting-edge AI models and new product functionality, while also upleveling the technical quality, performance, and reliability of our AI features. You’ll work alongside developers across the company, and combine industry best practices with a first-principle approach to design and build the platforms that power Figma’s design and collaboration products.
What you’ll do at Figma:
- Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.
- Collaborate with product, research, and infrastructure engineers working across AI.
- Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization.
- Debug and resolve complex production issues that span services and layers of the stack.
- Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.
We'd love to hear from you if you have:
- 5+ years of Software Engineering experience, especially in backend or infrastructure engineering.
- 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms.
- Proficiency in TypeScript, Python, or Ruby.
- Strong system design skills and a track record of architecting resilient production systems.
- Excellent communication skills, with experience collaborating across teams and mentoring others.
While not required, It’s an added plus if you also have:
- Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms.
- Experience evolving large-scale, shared developer platforms to improve reliability and developer velocity.
- A proven track record of leading technical strategy and complex, multi-team projects.