AI Research Engineer

TL;DR: Lovable is building the software creation platform that lets people turn ideas into software with plain language. We’re hiring an AI Research Engineer focused on post-training at scale to ship production-ready models quickly. You’ll own the full post-training pipeline—from data curation and training runs through evaluation and deployment—and work across product, agent, and infrastructure teams to translate research into product improvements. Applicants should be able to run post-training jobs on large language models (RFT/RLVR, preference optimization, or similar), write solid production code, and reason about evaluation and deployment in production. Please submit your application in English via our careers portal. What you’ll do: Own Lovable’s post-training lifecycle from data curation and training runs through evaluation and deployment. Apply reinforcement learning, preference optimization, and supervised fine-tuning to improve code generation, user intent reasoning, and agent behavior. Build evaluation and experimentation infrastructure to measure real-world impact, and operate production training systems including GPU orchestration and data pipelines. Collaborate with agent, product, and infrastructure engineers to turn model gains into product improvements. Investigate and resolve failures end-to-end and move research into production within days or weeks. The role emphasizes speed to ship alongside research rigor. About your application: please submit in English via our careers portal.