Design Engineer, Brand
Lovable · Stockholm ·
- Work mode
- Onsite
- Category
- Engineering design
- Company size
- 11-50
Build AI-powered brand production tooling and pipelines to scale creative output reliably, working with brand designers to enforce style and quality.
TL;DR - We're seeking an exceptional Design Engineer to build the tooling that makes AI-native brand production actually work at scale. You might be a full-stack product engineer, or you might be a design engineer - here you’ll be someone who builds real infrastructure specifically in service of brand and creative output, working alongside brand designers who owns taste and direction.
Why Lovable?
Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.
We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.
Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.
What we're looking for
Solid engineering fundamentals - you have a track record of building, shipping, and maintaining real full-stack software
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
Some design sensibility is a strong plus - you don't need to be a designer, but you should be able to tell when output is off-brand without needing it spelled out
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 the way our Design Engineers push the boundaries of the web
What you'll do
In one sentence: Build and own the systems that let AI-native brand production run at scale, reliably.
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)
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
Own reliability and versioning for the AI-generation system so brand output doesn't silently drift in quality or style over time
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
Constantly evaluate new models, APIs, and generation tooling as the landscape moves, and rebuild pipelines when something better comes along
Our tech stack
Lovable is built with tools that both humans and AI love:
Frontend: React, Tailwind
Backend: Golang and Rust
Cloud: Cloudflare, GCP, AWS, many LLM and generation providers
DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform)
And always on the lookout for what's next - especially in image/video generation APIs and pipelines. You’ll build custom tools in chorus with Lovable, while also contributing to Lovable upstream.
How we hire
Fill in a short form then jump on an intro call with a recruiter.
Show us some of your work you're really proud of.
Show us how you approach problems during several technical interviews.
In some cases, we may opt to do paid trial work.
About your application
Please submit your application in English - it's our company language so you'll be speaking lots of it if you join.
We treat all candidates equally - if you're interested please apply through our careers portal.