Note: The job is a remote job and is open to candidates in USA. Code and Theory is a digital-first creative agency seeking a Front-End Engineer to build AI-native digital platforms and user experiences. The role involves developing modern frontend applications, collaborating with various teams, and contributing to the advancement of AI-enabled software development.
Responsibilities
- 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
Skills
- 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
- 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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