TL;DR - Weâre looking for strong engineers (backend, frontend, or full-stack) who are excited about building agents. Youâll help shape how we build, evaluate, orchestrate, and scale LLM-powered agents in production - and define what it means to create truly lovable AI products.
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 weâre just getting started.
Weâre 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.
Core requirement: Strong engineering fundamentals. You might be backend, frontend, or full-stack - what matters most is your ability to build high-quality production systems.
Big plus if you:
Have built AI agents yourself (side projects count)
Are deeply curious about how AI systems behave and improve
Have worked with LLMs or AI systems in production
Are excited about experimenting with new models and techniques
Experience that stands out:
Shipped ML or AI features to real users with uptime requirements
Built evaluation systems or ML experimentation pipelines
Strong opinions on safety, latency, and helpfulness - but open to testing and learning
In one sentence: Build, tune, and scale agents that power lovable products.
Add new agent skills and tools
Improve agent reasoning, orchestration, and efficiency
Design how multiple agents collaborate
Select the right models for different task types
Push the limits of what agents can reliably do in real products
Analyze agent behavior and performance
âHill-climbâ toward better helpfulness, safety, and reliability
Build evaluation frameworks and benchmarks
Create experimentation pipelines and feedback loops
Ensure agents perform well across real-world use cases
We're building with tools that both humans and AI love:
React, Golang, and Rust
Serverless primitives on Cloudflare, k8s, GCP, Modal, Temporal
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 - itâs our company language so youâll be speaking lots of it if you join
We treat all candidates equally - if youâre interested please apply through our careers portal
lovable