**TL;DR**
- We’re looking for Founding AI Engineers who will shape how we fine-tune, serve, and evaluate LLMs and frontier models in production - and help define what it means to build a truly lovable AI product.


**Why Lovable?**
Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.


We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.


**What We’re Looking For**

- Led or contributed to cutting-edge LLM research at top AI labs / globally leading tech startups
- Trained and fine-tuned LLMs on large-scale code, language, or multimodal datasets
- Deep understanding of transformer architectures, attention mechanisms, and model optimization
- Shipped ML systems in production, with real users and real uptime
- Built fast, production-level systems while maintaining strong practices around reproducibility, monitoring, and model performance
- You hold somewhat strong opinions about model safety, latency and helpfulness, but aren’t afraid to experiment

**What You’ll Do**
**In one sentence**
: Train, tune, and scale frontier LLMs that power lovable products.



- Own training pipelines for LLMs, from data curation to evaluation and deployment
- Fine-tune models on high-quality, domain-specific data (code, natural language, product usage signals)
- Work closely with product engineers to integrate models into real user-facing features
- Build retrieval pipelines, evaluation frameworks, and experimentation tools
- Push the limits of what’s possible with current/upcoming open models, and help define what we should train next

**Our tech stack**
We're building with tools that both humans and AI love:



- Frontend: React for lightning-fast interfaces
- Backend: Golang and Rust for serious performance
- Cloud: Cloudflare, Fly.io, Google Cloud Run, AWS, Terraform
- DevOps & Tooling: CI/CD pipelines, observability, infra-as-code

And always on the lookout for what's next!


**How We Hire**

- Fill in a short form then jump on an initial exploratory call.
- Join us for a round of technical interviews
- Team intro calls with the team

**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