UI Engineer (f/m/d) - AI

You stopped coding.

And that’s exactly why we want you.

AI-First UI Engineer  —  Building the interfaces of the future

Let’s be honest.

You’ve built apps. Great apps. Maybe some of the best apps out there. You know React and Next.js inside out — the component trees, the state management headaches, the CSS battles at 2am. You’ve shipped production code, debugged impossible bugs, and architected frontends that actually scale.

And then, sometime last year, something clicked.

You realized that writing every line yourself doesn’t make sense anymore. Not because you can’t — but because you’ve found a fundamentally better way. You started building with AI. Cursor, Claude, Copilot, v0 — you tried them all. You fell into every trap along the way. The hallucinated APIs. The spaghetti architecture that AI generates when you don’t guide it. The “works in demo, breaks in production” moments. The missing tests.

But you figured it out.

That’s the person we’re looking for.

Own the UI layer — from vision to production. You’re not just writing components. You’re shaping how our product feels.

• Architect and build production-grade frontends for AI agent products using React/Next.js

• Design interaction patterns for natural language and agent-driven UIs — the kind of interfaces nobody has fully figured out yet

• Brief and shape visual design with a strong sense for UX and layout — you don’t need to push pixels, but you need to know what great looks like

• Translate business requirements into product thinking — you understand why we’re building, not just what

• Establish frontend best practices: component architecture, testing strategies, code quality, CI/CD

• Work at the speed of AI while maintaining the quality bar of production software

The builder who evolved.

You have deep experience shipping real applications — probably years of it. You understand frontend architecture at a level where you can make big decisions confidently: state management, performance, component design, API integration, accessibility.

The AI-native workflow.

You’ve gone through the painful learning curve of AI-assisted development and come out the other side. You know the pitfalls. You have your own system. You can build a complete, production-ready feature in a fraction of the time it used to take — without cutting corners.

The product thinker.

You don’t just build what’s specified. You understand the business context. You push back when something doesn’t make sense. You have opinions about UX and you can articulate them.

The quality bar.

AI-generated code without discipline is a liability. You know this. You write tests. You review thoroughly. You keep architecture clean even when moving fast. You evaluate, iterate, and refine.

Bonus: You’ve been here before.

Ideally, you’ve already worked on AI-first interfaces — conversational UIs, agent interactions, natural language input patterns. You know firsthand what works and what doesn’t when the interface is the AI.

1. Phone call with Sarah (Senior Recruiter @smartclip)
2. Video call via Google Meet with your future manager and another team member
3. Face-to-face meeting in Berlin, including a case study or coding challenge (pair programming)
4. Prompt feedback from Sarah