About the job
Join Our Team! Lovable is on the lookout for talented engineers—whether you specialize in backend, frontend, or full-stack development—who are eager to innovate and create engaging AI agents. Your role will be pivotal in defining how we build, assess, and scale LLM-driven agents, ultimately contributing to the creation of AI products that are truly lovable.
Why Choose Lovable?
At Lovable, we empower everyone to craft software using simple, plain English. Our platform is utilized by solopreneurs and Fortune 100 teams alike, enabling millions to turn their visionary ideas into tangible products swiftly. As pioneers in a transformative era of software development, you have a unique chance to reshape the digital landscape. With over 2 million users across more than 200 countries, Lovable is just getting started on this exciting journey.
Our compact, highly skilled team is building a company that will define a generation from our base in Stockholm. We treasure extreme ownership, rapid execution, and collaborative spirit. We seek individuals who are passionate, quick to deliver, and ready to make a significant impact in the world.
Role Expectations
Core Requirement: A robust understanding of engineering principles. Whether you are a backend, frontend, or full-stack engineer, your capability to develop high-quality production systems is what matters most.
Ideal candidates will also:
- Have experience in building AI agents (side projects count)
- Exhibit a strong curiosity about AI system behavior and improvement strategies
- Possess experience with LLMs or AI systems in real-world applications
- Show enthusiasm for experimenting with new models and methodologies
Noteworthy experiences include:
- Successfully deploying ML or AI features to users with uptime commitments
- Developing evaluation systems or ML experimentation pipelines
- Holding firm views on safety, latency, and helpfulness while remaining open to testing and insights
Your Responsibilities
In essence: Create, optimize, and expand agents that drive Lovable products.
- Introduce new skills and tools for agents
- Enhance agent reasoning, management, and performance
- Design collaborative frameworks for multiple agents
- Choose appropriate models for various tasks
- Challenge the boundaries of agent capabilities

