Code and Theory

Code and Theory

Engineer, Front-end (US)

New York, New York, United States; Remote

Sponsorship not specified$90k-$125kDetected 27 days ago
TypeScriptReactNext.jsTailwind CSSCode ReviewGitAWSGCPAzureCloud PlatformsCI/CDData VisualizationAI OrchestrationWireframingAccessibilitySEOCommunicationCollaborationProblem Solving

About the role

  • Every engineer here is expected to engage and advance the state of the art in the practice of AI-native software development.
  • We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients.
  • With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve.

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
  • Help advance how the team builds with AI across the development lifecycle
  • Strong, demonstrated experience building production frontend applications with React, Next.js (App Router), and TypeScript
  • Solid grounding in responsive design, accessibility (a11y), frontend performance, and scalable UI architecture
  • Strong attention to detail and design sensibility, paired with strong communication, collaboration, and problem-solving skills
  • 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

Requirements

  • Proficiency with modern component libraries and UI systems such as Radix UI, shadcn/ui, Tailwind, or similar frameworks
  • Experience integrating frontend applications with headless CMS platforms and backend APIs
  • Experience in agency, consultancy, or enterprise SaaS environments
  • Familiarity with Vercel and cloud platforms such as AWS, Azure, or GCP
  • 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

Nice to have

  • Familiarity with frontend tooling, Git workflows, testing practices, and CI/CD pipelines, plus analytics, SEO, and performance optimization
  • Experience with data visualization libraries such as D3 or Highcharts is a plus

Skills

  • from tech to CPG, financial services to travel & hospitality, government and education to media and publishing.
  • The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent.

Compensation

  • The base compensation range for this role is $90,000 – $125,000 and spans multiple levels.

Company info

  • Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology.
  • We have teams distributed across North America, South America, Europe, and Asia.
  • The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
  • Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing.
  • We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
  • We're always on the lookout for smart, driven, and forward-thinking people to join our team.
  • The base compensation range for this role is $90,000 - $125,000 and spans multiple levels.
  • We're open to hiring at the level that best matches the right candidate's experience.
  • Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.
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