AI Web Engineer (Systems & Automation)

We’re looking for an AI web engineer who can both ship high-quality websites using tools like Claude Code and help us build a repeatable, scalable workflow for how we develop sites.

This role is hands-on. You’ll be building real client websites while also shaping how we do it as a team.

What you’ll do

• Build production-ready marketing websites and web experiences using AI-assisted workflows (Claude Code, etc.)
• Work directly from Figma designs and help define a clean Figma → code handoff process
• Operate in a fast, iterative “vibe coding” style — rapid prototyping, refining, and shipping
• Identify patterns across projects and turn them into reusable components, structures, and prompts
• Help establish a repeatable blueprint for how we build websites with AI (structure, tooling, QA, deployment)
• Collaborate with design and engineering to continuously improve speed and quality

What we’re looking for

• 4–5 years of experience in web development / frontend engineering
• Strong experience as a web engineer / frontend developer
• Proven ability to ship complete websites (not just components or partial work)
• Experience using AI tools in development workflows (Claude, Cursor, Copilot, etc.)
• Comfortable working from Figma and translating designs into clean, production-ready code
• Ability to move fast, iterate, and make pragmatic decisions
• Interest in systematizing workflows, not just building one-off projects

Nice to have

• Experience creating internal tooling, templates, or developer workflows
• Familiarity with design systems and component libraries
• Experience working in agency or fast-paced product environments
• Strong taste in UI implementation and attention to detail

What success looks like

• You can take a Figma file and turn it into a live, polished website quickly using AI
• You reduce build time across projects by introducing better workflows and patterns
• The team can build faster and more consistently because of your contributions

About the role

• Hands-on engineering role (this is not a pure systems or ops position)
• High ownership and autonomy
• Focus on speed, quality, and repeatability