AI Engineer, Internal Tools

Responsibilities

You will partner with cross-functional teams to identify high-value AI opportunities and build production-ready AI agents and workflow automations. You will also design evaluations, feedback loops, and guardrails to ensure the reliability, security, and scalability of AI solutions across the enterprise.

Requirements

The role requires 5+ years of software engineering experience with a strong focus on building production applications and integrating LLMs or agentic workflows. Candidates must demonstrate the ability to translate ambiguous business problems into technical solutions and possess strong system design fundamentals.

Skills

• LLMs
• Agent frameworks
• Retrieval-augmented generation
• Function calling
• System design
• API integration
• Python
• Software engineering
• Observability
• Prompt engineering
• Data engineering
• Workflow automation
• Security controls
• Technical prototyping
• Stakeholder management

Benefits

• Health insurance
• Dental coverage
• Vision coverage
• Retirement benefits
• Parental leave
• Family planning support
• Mental health benefits
• Paid time off
• Paid sick leave
• Company recharge days
• Cell phone reimbursement
• Home internet reimbursement
• Lifestyle spending accounts
• Equity

About this role

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 employees are among the most AI-active in the industry, and our Internal AI team, part of FTS (our Business Technology org), helps turn that energy into meaningful impact by making it easier for every Figmate, from Sales and Support to Finance, People, and Legal, to safely adopt AI and use it to improve how they work.
We’re a small, high-leverage team organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds, and this role is a key member of the Applied AI Builds pillar.
As an AI Engineer, Internal Tools, you’ll work directly with teams across Figma to identify high-value AI opportunities and take them to production, moving from understanding a business workflow, to rapidly prototyping an approach, to evaluating it and integrating it with the systems and data needed to make it useful in the real world.
This isn’t a role focused only on building AI demos: you’ll own solutions through production, help determine where AI adds value and where traditional rules-based software is the right choice, and shape how agents can safely take actions across enterprise systems. As common patterns emerge, you’ll partner with our Platform & Tooling and Infrastructure teams to build reusable capabilities that make future AI builds faster and safer.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
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 our Internal AI platform teams
Help define how Figma approaches Applied AI engineering and scales AI adoption across the company
We’d love to hear from you if you have:
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 strong engineering judgment about when to apply AI and when a rules-based approach is the right choice, and 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 and ability to move quickly from discovery to prototype while understanding what is required to safely and reliably productionize a solution
While it’s not required, it’s an added plus if you also 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 with 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
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health...

About Figma

Design Services · 1,001-5,000 employees · headquartered in San Francisco, California · founded 2012