Senior Frontend Engineer - AI-Powered Web Apps

Code and Theory; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Code and Theory is seeking a Front-End Engineer to build AI-native digital platforms and enterprise marketing experiences. You’ll collaborate with Engineering, Product, and Design to deliver modern, scalable frontend apps using React and Next.js in a fast-paced agency setting.

You’ll prototype and ship polished interfaces, translate designs into production code, and contribute to AI-enabled workflows across client projects.

Qualifications

• Production frontend applications built with React, Next.js (App Router), and TypeScript.
• Strong grounding in responsive design, accessibility, frontend performance, and scalable UI architecture.
• Experience integrating frontend apps with headless CMS platforms and backend APIs.
• Familiarity with frontend tooling, Git workflows, testing practices, and CI/CD pipelines.

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

React

Next.js

TypeScript

Tools

Radix UI

shadcn/ui

Tailwind

Job description

Code and Theory is seeking a Front-End Engineer to build AI-native digital platforms and enterprise marketing experiences. You’ll collaborate with Engineering, Product, and Design to deliver modern, scalable frontend apps using React and Next.js in a fast-paced agency setting.

You’ll prototype and ship polished interfaces, translate designs into production code, and contribute to AI-enabled workflows across client projects.