Das ist der Job
We're building Vibiz.ai, the first Vibe Business Platform.
Darum lohnt es sich
Fast.
•
Work directly with founders and users - zero layers
•
Help define the engineering culture from day one
Stack vibes
•
Next.js
•
TypeScript
•
LLMs / Multi-agent systems
•
Vercel AI SDK
•
Cursor, Claude Code - whatever ships fastest
•
Speed > perfection
You are
•
An end-to-end builder (frontend + backend + AI)
•
Someone who ships daily and doesn't wait for permission
•
Deep into GenAI - you use AI tools to build faster and better
•
Comfortable with chaos, speed, and no spec
•
Product-minded - you think in outcomes, not tickets
•
Builder > employee
•
Speed > comfort
•
Impact > title
Hard requirements
•
You use AI dev tools daily (Cursor, Claude Code, Copilot, etc.)
•
You genuinely believe GenAI is changing how software is built
•
You can build full-stack apps in TypeScript + Next.js
•
You've worked with LLMs and/or multi-agent systems
•
You can show real work: GitHub, side projects, shipped products
Big add-ons (nice to have)
•
Active on X / Twitter, sharing what you build
•
Experience building AI agents or autonomous systems
•
Worked on AI-driven marketing, growth, or distribution tools
•
Built and shipped your own product
•
Previous early-stage startup experience
What we offer
•
Chance to turn this into a full-time role with stock options
•
Massive growth opportunity in a fast-scaling startup
•
Small & young team (U25) moving at startup speed
•
Direct access to founders and real ownership
What this is NOT
•
Not a chill corporate job
•
Not for people who hate ambiguity
•
Not for people who think AI is overhyped
•
Not for people who don't ship We're VC-backed, have hundreds of paying customers, and we're building an AI agent that autonomously runs and grows businesses - spending budget, making decisions, executing actions, and driving real results.
We're looking for an AI Full-Stack Engineer to join us now and build at insane speed. What you'll do
•
Ship.
Every single day.
•
Build full-stack features end-to-end (frontend, backend, AI layer)
•
Work deeply with LLMs, multi-agent systems, and AI-native UX
•
Turn user chaos into product clarity
•
Design systems that autonomously run real business operations
•
Fix bugs. A lot of them.