Full Stack Software Engineer - AI-First (Java, Angular)

Accountabilities

• Own the development and evolution of product features as part of an autonomous engineering team, collaborating closely with Product Managers on priorities and solutions.


• Build and maintain full-stack applications using Java, Spring Boot, Angular, and TypeScript, adapting your focus between backend and frontend based on business and technical needs.


• Apply AI-first development practices using tools such as Claude Code, Cursor, Lovable, and similar AI agents to accelerate implementation and improve engineering productivity.


• Architect, implement, review, and validate AI-assisted code to ensure solutions are scalable, maintainable, secure, and aligned with engineering standards.


• Take end-to-end responsibility for applications, from system design and development through cloud infrastructure, deployment, and ongoing improvements.


• Apply modern security practices when designing and developing applications that handle sensitive compliance and business information.


• Identify potential vulnerabilities and technical risks, incorporating security-conscious thinking throughout the software development lifecycle.


• Contribute to a results-oriented, collaborative engineering culture with strong individual ownership and minimal unnecessary meetings.

• 3+ years of professional software engineering experience, with experience delivering production-grade applications.


• Strong hands-on experience with Java, Spring Boot, Angular, and TypeScript, with the ability to work comfortably across frontend and backend development.


• Practical experience or strong interest in AI-assisted and agentic software development, including prompt engineering, AI coding assistants, or automated development workflows.


• Ability to critically evaluate AI-generated code, identify inaccuracies or vulnerabilities, and apply sound engineering judgment before integrating it into production systems.


• Experience with end-to-end software delivery, including system architecture, development, cloud environments, deployment, and application lifecycle ownership.


• Strong understanding of secure software development and modern cybersecurity risks; dedicated security research experience is not required.


• Self-directed and comfortable working in an autonomous, results-focused environment where engineers are expected to take initiative and make informed decisions.


• Strong communication and collaboration skills, with fluent English required.


• Curiosity, adaptability, and willingness to continuously learn emerging AI development tools and methodologies.

• Fully remote work, with the ability to work from anywhere in the world for up to 183 days per year.


• Access to a budget and the latest AI-powered development tools to support modern engineering workflows.


• Virtual Stock Options (VSOPs) and opportunities for professional and financial growth as the organization scales.


• Merit-based environment with significant opportunities to expand responsibilities and career scope.


• €200 monthly budget for coworking or sports activities.


• Flexible, international work environment designed to support autonomy and work-life balance.


• Opportunity to work on high-scale products involving global compliance, cloud technology, AI-assisted engineering, and sensitive data.

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