Senior Engineer, Full-stack (US)

Code and Theory

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

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

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

Skills