Full Stack Engineer - AI-Native Development

This position is open to candidates based near one of our offices in Germany (Frankfurt, Berlin, or Kempten im Allgäu), Poland (Gdansk) or France (Montpellier or Paris). Role Purpose We are looking for a motivated Full Stack Engineer with a strong frontend focus who works AI-native - someone who doesn't just use AI tools to autocomplete code but operates AI coding agents as part of how they build software day to day: decomposing work, directing agents through implementation, and verifying their output critically. In this role, you will design, develop, and maintain real-world product platforms on stack comprising Angular, Java, Spring Boot and AWS. Alongside feature work, you will contribute to the continual cycle of improvements to our AI-native ways of working. You will collaborate closely with experienced engineers, product managers, designers, and other stakeholders to apply sound engineering principles, write high-quality code, and build reliable solutions that solve real business problems at scale. What You'll Do Design, build, and maintain modern, high-quality applications.Translate product and business requirements into scalable, intuitive, and performant user interfacesCollaborate closely with product managers, designers and engineers to deliver end-to-end features with real customer impactOwn features from concept to production, including implementation, testing, and long-term maintainabilityUse AI coding agents as a core part of your workflow: break down work into agent-executable tasks, direct agents through implementation and review their output before it shipsContribute to the documentation and tooling that improve how the whole team works with AI, building on our existing AI-driven delivery pipelineDesign clean, testable and well-documented code, following best practices and internal standardsContribute to and evolve our frontend architecture, design system and shared Angular librariesEnsure high quality through E2E, integration, component testing and actively participate in code reviewsOptimize applications for performance, accessibility and internationalization in a multi-market SaaS environmentParticipate in technical discussions and architectural decisions, bringing ideas and proposing improvements What We're Looking For Minimum 3 years of software engineering experienceExperience shaping how AI coding agents are configured and guided within a development workflowPractical experience working with AI coding agents in production settings, beyond autocomplete-style assistance, including reviewing and correcting their outputComfort working in a spec-driven way: writing clear task/context definitions that an agent (or a teammate) can execute againstExperience in Angular and modern TypeScript, preferably Angular 19+ and ES2022+, Angular Material and CDK experienceBackend experience in Java / Spring BootExperience with Microservices & RESTSolid E2E testing experience (Playwright or Cypress preferred)Experience with peer reviewing and ability to work independently as well as in a team, at a high standardA desire to learn, grow, and contribute meaningfully in a supportive team environmentGood written and verbal English communication skills Nice to Have A degree in computer science, software engineering, or a similar technical fieldExperience with Git and GitHub workflowsExperience of agile methodologiesAngular component testing and unit testingInternationalization (Crowdin with ngx-translate), ESLint experience Why Join Us A chance to work on meaningful, real-world projects with immediate impactJoin a team already building AI-native:you'll extend a real, production AI SDLC pipeline, not start one from scratchMentorship from other experienced software engineersExposure to modern development practices and innovation-driven workA growing international SaaS company with ambitious goalsA great team that's passionate about tech, subscriptions, and customer journey at FrisbiiLocal employee benefits Please read and take note of our data protection notice and the information on the processing of applicant data.