AI Engineer, Internal Tools

Figma is growing its team of passionate creatives and builders on a mission to make design accessible to all. The Internal AI team, part of FTS (Business Technology org), helps Figmates from Sales and Support to Finance, People, and Legal safely adopt AI and use it to improve how they work. The team is organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds; this role is part of the Applied AI Builds pillar. The AI Engineer, Internal Tools will identify high-value AI opportunities and take them to production, from understanding a business workflow, to rapidly prototyping an approach, to evaluating it and integrating it with the systems and data needed. The role is not focused only on building AI demos: the engineer will own solutions through production, help determine where AI adds value and where rules-based software is the right choice, and shape how agents can safely take actions across enterprise systems. This is a full time role that can be held from one of Figma's US hubs or remotely in the United States.

Responsibilities

Partner directly with teams across GTM, Finance, People, Legal, Support, and other business functions to understand workflows and identify high-value opportunities for AI; Design, build, and productionize AI agents, assistants, and workflow automations that solve real business problems using LLMs, tool calling, RAG, structured outputs, agent frameworks, MCP, APIs, and enterprise data; Integrate AI applications with enterprise systems and data sources across GTM, Finance, People, Support, and internal APIs; Build evaluations and feedback loops to measure accuracy, reliability, and business impact before and after AI solutions reach production; Design deterministic guardrails, human-in-the-loop controls, and approval patterns for workflows where AI systems take business-critical actions; Build production-ready systems with strong observability, failure handling, security, authentication, authorization, and auditability; Identify reusable patterns across individual AI projects and build them out as shared components and capabilities in partnership with the Internal AI platform teams; Help define how Figma approaches Applied AI engineering and scales AI adoption across the company

Requirements

5+ years of software engineering experience building production applications, integrations, backend systems, or AI-powered products; Hands-on experience building applications with LLMs, agents, retrieval-augmented generation, function calling, schema-constrained outputs, or evaluation frameworks; Experience taking an AI application or workflow beyond a prototype and operating it in a production environment; Strong API, integration, and system design fundamentals, with experience connecting applications across multiple systems and data sources and engineering judgment about when to apply AI and when a rules-based approach is the right choice; Experience designing reliable production systems with appropriate observability, failure handling, authentication, authorization, and security controls; Experience working directly with non-engineering stakeholders to understand ambiguous business problems and translate them into technical solutions; Ability to move quickly from discovery to prototype while understanding what is required to safely and reliably productionize a solution

Nice to have

A background building internal AI applications or working in an Applied AI, Forward Deployed Engineering, or AI Solutions Engineering role; Experience with MCP, agent orchestration frameworks, and enterprise tool-calling patterns; Knowledge of AWS Bedrock, AgentCore, OpenAI, Anthropic, or similar AI platforms; Experience integrating enterprise systems such as Salesforce, Zendesk, Workday, NetSuite, Greenhouse, or Slack; Knowledge of AI evaluations, observability, prompt/version management, and human-in-the-loop systems; Experience implementing enterprise identity and access patterns such as Okta, SSO, OAuth, and secure service-to-service authentication, within Security, Privacy, SOX/ITGC, or other enterprise governance requirements

Benefits

Equity; Health, dental, and vision coverage; Retirement benefits with company contributions; Parental leave and reproductive or family planning support; Mental health and wellness benefits; Paid time off; Paid sick leave and holidays; Employer-provided paid flexible PTO; Company recharge days; Cell phone and home internet reimbursements; Lifestyle spending accounts; Annual bonus plan for eligible non-sales roles