AI Full Stack Engineer

• We’re looking for an AI Full Stack Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools
• Ather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments
• Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production
• The rich UI of our generative AI tools is powered by TypeScript and React/Redux, while the real time compositing and graphics engine behind our interactive preview runs on WebGL2 and WebAssembly
• Our API endpoints for real-time collaboration and media asset management are written in TypeScript and node.js and are deployed as serverless functions on AWS Lambda. We leverage AI APIs to power advanced generative capabilities
• Create rich multimedia interfaces using the cutting edge of the latest AI video generation models Gen-4.5 and Aleph 2.0
• Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools
• Design and implement LLM-powered features and conversational interfaces
• Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser
• Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning based generative AI tools
• Improve the performance, reliability, and code quality of our codebases

Benefits

• 100% medical, dental, and vision coverage: We cover 100% of medical, dental and vision for our US employees AND their dependents. Based on the plans selected, we have complimentary mental health benefits and a free One Medical membership
• Unlimited days of PTO: We have unlimited PTO with a minimum of 15 days a year. We also have a paid sabbatical program after employees have been with Runway for 3 years and again after 5 years. And of course, we can’t forget about Summer Fridays
• 401k Matching, 3% matching: Plan for the future! We provide a 3% 401K match for our US based employees
• Remote $250 stipend: All of our employees outside of commuting distance to the office, can expense up to $250 per month on co-working spaces, lunch or groceries, and internet connection
• Donations supporting our community: Beyond our employees, we have a commitment to our communities. Every quarter, Runway employees choose an organization for the company to support through a donation
• Custom setup, tech setup stipend: In addition to the choice of laptop, all employees get a stipend to customize their tech set up as they want
• Parental leave for all parents: We offer 16 weeks of fully paid parental leave plus a gradual return to work plan. This coverage is for all parents, regardless of how a child is brought into the family
• L&D $600 stipend: We’re investing in our employees’ long term growth by giving every employee $600 per year to spend on their personal or professional development. That means conferences, courses, and books, oh my!
• Wellness $600 stipend: We set ambitious goals and work hard to achieve them, so we believe it’s important to invest in employees’ mental and physical health. The $600 annual wellness stipend can be used for anything from therapy sessions to gym memberships- Experience in architecting production-ready systems and familiarity with debugging and profiling tools
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• 3+ years of industry experience in a software engineering role, ideally full-stack focused
• Humility and open mindedness; at Runway we love to learn from one another
• Demonstrated fluency of one or more programming languages, including but not limited to JavaScript/TypeScript
• Experience building with third-party AI APIs (e.g., chatbots, LLM integrations)