Brand Engineer

Lovable Lovable · Coding AI · Stockholm, Sweden · Design

Seeking a Brand Engineer to build and own scalable AI-native brand production systems, connecting generation APIs, internal tooling, and existing brand systems. This role involves building internal apps, ensuring reliability and versioning of AI generation, and evaluating new models and tooling.

What you'd actually do

  1. Build pipelines connecting image/video generation APIs, internal tooling, and the systems brand and marketing already use (Lovable, Design tools, CMS, the marketing site, Slack)
  2. Build internal apps for the brand team - plausibly on Lovable itself, which is both a good dogfooding story and just the fastest way to do it
  3. Own reliability and versioning for the AI-generation system so brand output doesn't silently drift in quality or style over time
  4. Work closely with a Brand Designer who owns taste and direction - you're building the system that lets their judgment scale, not just executing tickets
  5. Constantly evaluate new models, APIs, and generation tooling as the landscape moves, and rebuild pipelines when something better comes along

Skills

Required

  • Solid engineering fundamentals
  • track record of building, shipping, and maintaining real full-stack software
  • Genuine interest in AI generation systems (image/video models, fine-tuning, prompt pipelines)
  • Experience translating scrappy explorations into production-ready systems
  • Comfortable building for a function with no internal precedent

Nice to have

  • Some design sensibility

What the JD emphasized

  • build the tooling that makes AI-native brand production actually work at scale
  • Genuine interest in AI generation systems (image/video models, fine-tuning, prompt pipelines) as a technical problem, not just as a user
  • Experience translating scrappy explorations into production-ready systems
  • Comfortable building for a function with no internal precedent - you'll be making calls with no playbook to lean on
  • You’ll push the boundaries of what's possible with generative pipelines

Other signals

  • AI generation systems
  • generative pipelines
  • image/video generation APIs