Lovable
Coding AI · AI app builder (vibe coding)
Coding AI · AI app builder (vibe coding)
Lovable currently has 11 active AI-related job listings. The majority of these roles, 64%, are focused on agents. Engineering is the dominant function with 9 roles, and the primary hiring country is Sweden with 9 positions. The company is frequently seeking expertise in agent orchestration, model serving, and LLM observability.
Lovable currently has 11 active AI-related roles in our index. The most common open titles are: Engineering Manager, Forward Deployed Engineer, GTM Engineering Lead, Head of Customer Experience, Penetration Tester. Most positions are in Engineering and Product.
Lovable's active AI hiring is concentrated in: agents (64%), post-training (18%), application (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Lovable is hiring AI talent in: Sweden (9 roles), United States (1 role), United Kingdom (1 role).
Job postings at Lovable most frequently mention: Code Generation, AI Safety, System Design, Product Impact, CI/CD.
In the past 30 days, Lovable has posted 4 new AI-related roles.
Currently tracking 7 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering.
| Title | Stage | AI score |
|---|---|---|
| Researcher, Post Training Lovable is seeking an engineer with experience in post-training large language models at scale to own their full post-training pipeline. This role involves translating research into production training recipes for code generation and agent workloads, with a focus on shipping improved models quickly. The position requires strong production code skills, familiarity with ML frameworks like PyTorch or JAX, and an understanding of preference optimization, reward modeling, and alignment techniques. The engineer will also build evaluation systems and operate production systems for training jobs. | Post-trainAgent | 9 |
| Head of Customer Experience Head of Customer Experience to build an agentic-first CX function from the ground up, sitting at the intersection of Product, Engineering, and GTM. This role will own ticketed support, async support, incident response, and onboarding, while architecting and building AI-powered systems for issue resolution and product signal surfacing. The goal is to scale coverage without scaling headcount 1:1 and to turn customer feedback into structured input for Engineering and Product. | Agent | 8 |
| GTM Engineering Lead Lead the design and execution of AI-powered GTM systems, including agents, automations, and workflows, from scratch. Own agent orchestration strategy, data pipelines, and PLG strategy for enterprise. Build agents and apps directly in the product. | AgentData | 8 |
| Research Engineering Lead Research Engineering Lead to optimize performance of frontier LLMs for AI software engineering products. Owns experiments from dataset design to model alignment and performance optimization. Focus on training pipelines, distillation, and synthetic data generation, partnering with infra and product engineers to scale and ship improvements. | Post-trainServe | 8 |
| Forward Deployed Engineer Forward Deployed Engineer to help build the future of AI-powered software creation. This role involves partnering with customers to build never-seen-before AI systems, translating insights into platform improvements, and owning projects end-to-end. The role is a founding member of the FDE function, shaping its direction and processes. | Agent | 7 |
| Penetration Tester The role is a Penetration Tester focused on offensive security for an AI platform. The responsibilities include testing web, mobile, APIs, cloud infrastructure, and specifically AI pipelines and LLM integrations for vulnerabilities like prompt injection and data exfiltration. The role also involves testing user-generated code and working with engineering to remediate findings, aiming to make the product the most secure AI product in the market. | Agent | 7 |
| Engineering Manager Engineering Manager to lead an organization of 30+ people, including managers, senior engineers, and AI agents, focusing on product, platform, and applied AI. The role requires strong technical credibility, hands-on coding ability, and the ability to shape engineering culture and set technical direction. The manager will also build the operating model for a hybrid human-AI engineering team and contribute to executive-level decision-making. | AgentServe | 7 |