AI Software engineer

???? What we’re building

We are building a design and AI-driven production system, not a simple app.

The system includes:

A deterministic label compiler (layout ? render ? QC)

AI-assisted content generation (guarded, non-autonomous)

A creative exploration system with human curation

Supabase backend with strict data contracts

Lovable as the primary frontend / orchestration layer

This role is about making sure the system behaves correctly.
Not adding features for the sake of it.

???? The problem you will solve

We already have a working system in Lovable, but:

Some data flows are incorrect

Some AI outputs don’t match renderer expectations

Some edge functions return valid data, but in the wrong shape

There are silent logic bugs, not obvious syntax errors

We need someone who can trace data from UI ? DB ? Edge ? AI ? Renderer

Your job is to:

Find where the data is wrong, why it’s wrong, and fix it cleanly.

???? Responsibilities

You will:

Review existing Lovable frontend flows

Trace and debug:

Supabase tables

JSON contracts

Edge functions

AI responses

Fix:

Mismatched schemas

Incorrect assumptions in data structures

Broken rendering logic

Silent failures

Ensure:

Deterministic behavior where required

AI is used only where allowed

Data is immutable where designed to be immutable

Refactor code only when necessary, not for style