Frontend Engineer (Next.js / AI-Assisted Development)

We are looking for a Frontend Engineer who can independently build and maintain modern web applications with a strong focus on performance, SEO, usability, and engineering quality.Our primary frontend stack is Next.js + TypeScript. You will work closely with Product, Design, Backend, and Marketing teams to turn product requirements and Figma designs into reliable, production-ready web experiences.We also actively encourage the use of AI coding tools to improve development speed. We are looking for engineers who know how to use AI effectively for prototyping, implementation, debugging, refactoring, and code review — while still taking full ownership of code quality, architecture, security, and maintainability.Responsibilities

• Develop and maintain web applications using Next.js, React, and TypeScript
• Build responsive, accessible, and production-ready interfaces based on Figma designs
• Create and maintain reusable UI components using Material UI (MUI) and/or Tailwind CSS
• Design maintainable component structures, state management, and frontend architecture
• Integrate REST APIs and handle loading, error, authentication, and edge-case states
• Select appropriate Next.js rendering strategies, including SSR, SSG, and ISR
• Implement and maintain Technical SEO best practices
• Improve website performance and Core Web Vitals
• Support tracking implementation using Google Tag Manager (GTM) and GA4
• Work with Marketing and Product teams to implement event and conversion tracking
• Build and maintain consistent local development environments using Docker / Docker Compose
• Participate in code reviews and maintain engineering standards
• Collaborate with Product Managers, Designers, Backend Engineers, and Marketing stakeholders
• Use AI coding tools to accelerate development without compromising code qualityRequirements
• Strong knowledge of JavaScript and TypeScript
• Solid experience with React and Next.js
• Strong understanding of HTML, CSS, and responsive web development
• Experience with at least one modern UI / styling solution, such as Material UI (MUI) or Tailwind CSS
• Ability to independently translate Figma designs into production-ready UI
• Good understanding of reusable component design and maintainable frontend architecture
• Experience integrating frontend applications with REST APIs
• Familiarity with Git-based development workflows
• Hands-on experience with Technical SEO, including:
• Metadata and Open Graph
• Semantic HTML
• Canonical URLs
• Sitemap and robots.txt
• Structured Data / Schema Markup
• SSR / SSG considerations for SEO
• Core Web Vitals
• Basic to intermediate hands-on experience with Google Tag Manager and GA4, including events, triggers, variables, and conversion tracking
• Experience using Docker to create and maintain frontend development environments
• Ability to communicate clearly with both technical and non-technical stakeholdersAI-Assisted / Vibe CodingWe see AI as a development accelerator, not a replacement for engineering judgment.Experience with tools such as the following is highly valued:
• Cursor
• Claude Code
• GitHub Copilot
• Codex
• Windsurf
• Gemini CLI
• Other AI coding agents or developer toolsYou should be comfortable using AI for:
• Requirement breakdown and technical planning
• Rapid prototyping and proof-of-concept development
• Component and page implementation
• Debugging
• Refactoring
• Test generation
• Code review
• Documentation
• Understanding unfamiliar codebasesMore importantly, you should be able to evaluate AI-generated code and take responsibility for the final implementation.This includes:
• Understanding code before accepting or merging it
• Verifying type safety and error handling
• Identifying security and dependency risks
• Avoiding unnecessary dependencies and over-engineering
• Validating changes through linting, type checking, testing, and code review
• Controlling the scope of AI-generated changes
• Maintaining consistency with the existing codebase and architectureDocker & Development EnvironmentYou should be comfortable creating a reliable and repeatable local development environment, including:
• Dockerfile
• Docker Compose
• Node.js runtime and package manager configuration
• Environment variable management
• Local and development environment configuration
• Backend / API service integration
• Volume and hot-reload setup
• Development documentation and README setupThe goal is to ensure that developers can start the project quickly and work in a consistent environment with minimal setup friction.Nice to Have
• Experience with Vue 3 and Composition API
• Experience with Nuxt
• Experience with Google Search Console
• Experience with Google Ads, Meta Pixel, or other marketing tracking platforms
• Experience with server-side tracking
• Experience with Lighthouse or PageSpeed Insights
• Understanding of Accessibility / WCAG
• Experience with testing tools such as Vitest, Jest, React Testing Library, or Playwright
• Experience with GitHub Actions or other CI/CD pipelines
• Experience deploying applications to Vercel, AWS, GCP, or similar platforms
• Experience with MCP, coding agents, sub-agents, or agentic development workflows
• Experience building or maintaining a Design System / Component LibraryWhat We Value
• You can independently turn a requirement or Figma design into a production-ready feature
• You care about maintainability, performance, SEO, and user experience — not just making something work
• You can identify technical risks and propose solutions proactively
• You know when AI can accelerate development and when engineering judgment is required
• You review and validate AI-generated code instead of blindly accepting it
• You communicate technical constraints and trade-offs clearly
• You take ownership of the quality of what you shipTech StackFrontend: Next.js / React / TypeScript / Vue 3UI: Material UI / Tailwind CSS / FigmaSEO & Analytics: Technical SEO / Google Search Console / Google Tag Manager / GA4Development: Docker / Docker Compose / Git / GitHubAI-Assisted Development: Cursor / Claude Code / Codex / GitHub Copilot / Gemini CLI / other AI coding tools