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Lovable Logo Lovable · IT - Software Development

Software Engineer, Security (AI Code)

Sweden, Stockholm · Job Posted May 28, 2026
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Job Description

We're looking for a Fullstack Engineer who lives and breathes AI code security. You'll design and build our static code analysis and security scanning capabilities, making Lovable the most secure AI-powered software creation platform on the planet.

Job Responsibility

  • Build out our code scanning engine: Design and implement static analysis and security scanning that surfaces findings in user-generated application code across web and mobile
  • Ship features end-to-end across frontend, backend, and infrastructure as part of a small, self-sufficient team (≤3 engineers)
  • Integrate AI/LLM capabilities into security workflows to detect, explain, and remediate vulnerabilities
  • Advocate for secure coding practices, conduct security-focused code reviews, and raise the bar across the engineering org
  • Influence our technical direction and product strategy with a security-first mindset
  • Help make Lovable the most secure AI product in the market

Requirements

  • 3+ years of experience in code security, static analysis, or code scanning, ideally building or contributing to security-focused products (SAST, linters, vulnerability scanners, or similar - with AI or advanced machine learning techniques)
  • 5+ years of full-stack engineering experience shipping high-quality products
  • Proficiency in modern frontend (React/TypeScript) and backend (Golang, Rust) development
  • Solid understanding of systems design, performance tradeoffs, and scalable architecture
  • Strong product sense and ability to translate security findings into intuitive, actionable user experiences
  • Bonus: Master's or PhD in code analysis, static analysis, or a related field
  • Experience integrating AI/LLMs into security tooling
  • Familiarity with mobile app security scanning

Nice to have

  • Master's or PhD in code analysis, static analysis, or a related field
  • Experience integrating AI/LLMs into security tooling
  • Familiarity with mobile app security scanning
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