backend ai developer (f/m/x).

• Design, build and maintain backend services and APIs using Java and Quarkus.
• Use AI tools such as GitLab Duo and Claude Code as part of your daily workflow to accelerate
coding, testing, debugging and code review.
• Solve day-to-day backend team tasks – features, bug fixes, refactors, integrations – leveraging AI
to move faster without compromising quality.
• Write automated tests (unit and integration) for backend services, using AI to speed up test
creation and improve coverage.
• Take part in code reviews – both AI-assisted and with teammates – ensuring code quality and
adherence to our engineering standards.
• Troubleshoot and resolve issues in CI/CD pipelines, using GitLab Duo to speed up root-cause
analysis.
• Collaborate closely with other backend engineers, QA and product to deliver reliable, well-tested
software.

• 4+ years of hands-on experience in backend development
• Experience with Java. (Quarkus is a plus)
• Practical experience using AI-assisted development tools such as GitHub Copilot, GitLab Duo,
Claude Code, or similar as part of a daily engineering workflow.
• Experience designing and building APIs and Java-based microservices that run reliably at scale
in production.
• Experience writing automated unit and integration tests for backend systems.
• Ability to understand the functional and business context of a feature before designing the
technical solution.
• Curiosity and willingness to experiment with new AI tools and integrate them responsibly into
day-to-day development practices.
• Comfortable working in a fast-moving environment where AI-assisted development practices
are still evolving.
• Strong attention to detail, critical thinking, and problem-solving skills.
• Good verbal and written communication skills in English.
• Collaborative, adaptable, and able to manage multiple priorities effectively

Nice to Have
• Experience with LLM-based integrations, Retrieval-Augmented Generation (RAG), or agent
orchestration workflows.
• Familiarity with MCP (Model Context Protocol) or similar tool/context integrations that connect
AI assistants to internal systems.
• Exposure to AI-native development practices beyond code completion, such as spec-driven
development frameworks, custom prompt or skill libraries, and automation workflows.

Join our digital team and be part of the technological transformation shaping the future. Apply now and start making a difference today!

 
Randstad is on a mission to become the world's most equitable and specialized talent company. Therefore, we emphasize that we welcome individuals with the most diverse abilities and backgrounds. We are committed to ensuring that our recruitment and hiring process meets the needs of everyone. If you require any accommodations to make your application or interview more comfortable, please do not hesitate to inform our recruitment consultants.