Front-end Engineer

Description

• Build and ship frontend applications and user experiences that power AI-native digital platforms • Translate design concepts and wireframes into polished, production-ready interfaces • Partner with Product, Design, and Engineering to deliver high-quality digital experiences end to end • Create reusable components and patterns that raise consistency and development velocity across the team • Prototype and iterate quickly on new features and user experiences • Participate in code reviews, technical discussions, and the team's engineering practices • Help advance how the team builds with AI across the development lifecycle

Requirements

• Strong, demonstrated experience building production frontend applications with React, Next.js (App Router), and TypeScript • Proficiency with modern component libraries and UI systems such as Radix UI, shadcn/ui, Tailwind, or similar frameworks • Solid grounding in responsive design, accessibility (a11y), frontend performance, and scalable UI architecture • Experience integrating frontend applications with headless CMS platforms and backend APIs • Familiarity with frontend tooling, Git workflows, testing practices, and CI/CD pipelines, plus analytics, SEO, and performance optimization • Strong attention to detail and design sensibility, paired with strong communication, collaboration, and problem-solving skills • Experience in agency, consultancy, or enterprise SaaS environments • Familiarity with Vercel and cloud platforms such as AWS, Azure, or GCP • Experience with data visualization libraries such as D3 or Highcharts is a plus • Comfort using AI-enabled tools day-to-day to accelerate engineering, automation, debugging, and operational work • Experience orchestrating multi-step or agent-driven AI workflows, including selecting appropriate models, tools, and execution patterns for different use cases • Strong judgment reviewing and hardening AI-assisted output for security, scalability, maintainability, and architectural fit, along with experience building prompts, evaluations, and operational context that improve engineering velocity and reliability

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