Senior Software Engineer (Frontend/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (Fullstack/AI): Leading the development and evolution of the Web SDK and enterprise-facing web applications with an accent on browser internals, performance optimization, and modular SDK architecture. Focus on designing scalable technical foundations, ensuring cross-browser stability, and integrating advanced AI capabilities into client-side products.
Location: Taipei, Taiwan
Company
is an AI-powered SaaS company that turns artificial intelligence into ROI to make software more intelligent for businesses.
What you will do
- Lead the long-term evolution of the Web SDK architecture, focusing on scalability and modularity.
- Design robust, extensible foundations to support various product integration scenarios.
- Optimize runtime performance, bundle efficiency, and cross-browser stability.
- Contribute to frontend architecture for enterprise-facing SaaS products.
- Proactively identify and address technical debt and architectural risks.
- Collaborate with cross-functional teams, including backend, product, and UI/UX, to deliver stable solutions.
Requirements
- 5+ years of experience in frontend or JavaScript engineering.
- Strong proficiency in JavaScript (ES6+) and TypeScript.
- Deep understanding of browser internals, DOM, HTTP, and web standards.
- Proven experience designing or maintaining JavaScript SDKs or shared frontend modules.
- In-depth knowledge of frontend frameworks like React or Vue.
- Must be able to work onsite in Taipei, Taiwan.
Nice to have
- Experience with modern build tools like Webpack, Vite, or Rspack.
- Knowledge of Node.js, Python, and GraphQL.
- Background in micro-frontend architecture and web security practices.
- Familiarity with testing frameworks like Jest, Vitest, or Playwright.
Culture & Benefits
- Meaningful ownership over architectural decisions in a global AI-driven organization.
- Collaborative environment with experienced cross-functional teams.
- Exposure to real-world browser challenges and high-scale enterprise deployments.
- Integration of modern AI-assisted development tools (e.g., GitHub Copilot, Cursor) into daily workflows.
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