About this role
What you’ll do (responsibilities)
At the moment, this role is focused on:
Build and maintain reliable, scalable frontend features that support Canva’s generative AI experiences in China.
Design and implement user-facing interfaces, components, and frontend architecture for AI-powered product capabilities.
Integrate frontend systems with global and local AI services, model providers, and supporting infrastructure.
Work closely with product managers, designers, and engineers to deliver useful and high-quality AI experiences.
Contribute to the design and implementation of frontend systems that comply with privacy and security standards across different markets.
Support experimentation and phased rollouts to improve the quality, reliability, and user impact of AI-powered experiences in China and other priority international markets.
Participate in code reviews and share knowledge to help maintain a high-quality engineering culture.
Investigate and fix bugs, improve performance, and proactively address technical debt.
What we're looking for
You’re a frontend engineer with a proven track record of solving complex problems and delivering production-quality user experiences.
Strong foundation in computer science and frontend engineering principles, including component architecture, state management, and performance optimization.
Proficiency in JavaScript/TypeScript, HTML, CSS, and modern frameworks such as React or Next.js.
Experience building complex user-facing interfaces with attention to UX, accessibility, and responsive design.
Strong proficiency in SSR (Server-Side Rendering), e.g., Next.js, or similar modern frontend frameworks.
Solid understanding of web performance optimization, Core Web Vitals, and SEO best practices.
A collaborative mindset - you enjoy working with other engineers, product managers, and cross-functional teams to solve problems together.
A growth mindset - you’re eager to learn, take feedback constructively, and improve both your skills and the systems you work on.
Experience with A/B testing tools and experiment-driven development is a plus.
Experience with cloud infrastructure (e.g., AWS, GCP), CI/CD pipelines, or AI model integrations is a plus.
Interest in or exposure to generative AI, LLMs, AI product integrations, or similar domains such as machine learning platforms.
Fluent in English and comfortable working in a global context.