AI Engineer, Internal Tools
Remote · USFull-time$153–296K/yrPosted 1 day agoStill listed today
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At a glance
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Job overview
Figma’s Internal AI team helps employees across business functions adopt AI safely and improve their workflows. The AI Engineer, Internal Tools will identify valuable opportunities with internal teams, prototype and evaluate solutions, and take AI agents, assistants, and automations into production. The role also shapes safe agent actions and reusable capabilities in partnership with platform and infrastructure teams.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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:
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Partner directly with teams across GTM, Finance, People, Legal, Support, and other business functions to understand workflows and identify high-value opportunities for AI
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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
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Integrate AI applications with enterprise systems and data sources across GTM, Finance, People, Support, and internal APIs
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Build evaluations and feedback loops to measure accuracy, reliability, and business impact before and after AI solutions reach production
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Design deterministic guardrails, human-in-the-loop controls, and approval patterns for workflows where AI systems take business-critical actions
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Build production-ready systems with strong observability, failure handling, security, authentication, authorization, and auditability
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Identify reusable patterns across individual AI projects and build them out as shared components and capabilities in partnership with our Internal AI platform teams
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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:
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5+ years of software engineering experience building production applications, integrations, backend systems, or AI-powered products
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Hands-on experience building applications with LLMs, agents, retrieval-augmented generation, function calling, schema-constrained outputs, or evaluation frameworks
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Experience taking an AI application or workflow beyond a prototype and operating it in a production environment
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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
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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:
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A background building internal AI applications or working in an Applied AI, Forward Deployed Engineering, or AI Solutions Engineering role
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Experience with MCP, agent orchestration frameworks, and enterprise tool-calling patterns
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Knowledge of AWS Bedrock, AgentCore, OpenAI, Anthropic, or similar AI platforms
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Experience integrating enterprise systems such as Salesforce, Zendesk, Workday, NetSuite, Greenhouse, or Slack
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Knowledge of with AI evaluations, observability, prompt/version management, and human-in-the-loop systems
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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 and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range: $153,000—$296,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to [email protected]. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
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Holding interviews in an accessible location
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Enabling closed captioning on video conferencing
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Ensuring all written communication be compatible with screen readers
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Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
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Candidates may submit up to 5 applications during any rolling 30-day period.
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Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
How this job compares
Set against the 7,068 open AI Engineer jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$153–296K/yr
- California median$155–259K/yr1,151 salary ranges
- US median$133–241K/yr5,875 salary ranges
This range's midpoint, $225K, is 8% above the California median midpoint ($208K) — in the middle half of AI Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,407 open AI Engineer jobs in California and 7,068 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Deloitte190 open
- Accenture96 open
- Capital One58 open
- Experience
- This posting asks for at least 5 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (6,114 postings).
- Education
- 3,271 of the 7,068 open AI Engineer jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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