Brand AI Infrastructure Engineer

Lovable

Greater London

On-site

GBP 110,000 - 170,000

Full time

14 days+

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Job summary

Lovable is seeking an exceptional Brand Engineer to build infrastructure that makes AI-native brand production scalable. You may be a full-stack product engineer or a design engineer, but you’ll be building real infrastructure for brand and creative output, working with brand designers who own taste and direction.

You’ll connect image/video generation APIs, internal tooling, CMS, marketing site, and Lovable itself to ship reliable pipelines and tools that scale brand output.

Qualifications

  • Proven track record building, shipping, and maintaining full-stack software.
  • Deep interest in AI generation systems beyond user perspective.
  • Ability to translate explorations into production-ready systems.
  • Some design sensibility to assess off-brand output.
  • Willingness to build without an established playbook.
  • Experience pushing generative pipelines and evaluating models.

Responsibilities

  • Build pipelines connecting image/video generation APIs, internal tooling, and existing systems.
  • Develop internal apps for brand team, possibly on Lovable.
  • Own reliability and versioning of AI-generation workflows.
  • Collaborate with Brand Designer to scale design judgment.
  • Evaluate new models and tooling; rebuild pipelines as needed.

Skills

Full-stack engineering
AI generation systems
Production-ready systems
Design sensibility
Brand tooling
System reliability

Tools

Internal tooling

Job description

Lovable is seeking an exceptional Brand Engineer to build infrastructure that makes AI-native brand production scalable. You may be a full-stack product engineer or a design engineer, but you’ll be building real infrastructure for brand and creative output, working with brand designers who own taste and direction.

You’ll connect image/video generation APIs, internal tooling, CMS, marketing site, and Lovable itself to ship reliable pipelines and tools that scale brand output.

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