With over 19,000 customers, Crewmeister is one of the fastest-growing workforce management software providers in Germany. Our success is driven by great products, strong teamwork, and people who are passionate about building exceptional software.

As part of the ATOSS Group, we combine the agility and ownership of a scale-up with the stability and resources of a leading software company.

AI is transforming how software is built, and we're investing in engineers who can help shape that future. We believe the next generation of software development will combine strong engineering fundamentals with AI-powered workflows, tools, and product capabilities.

If you're excited about building scalable backend systems while pushing the boundaries of AI-enabled product development, we'd love to hear from you.

Your Responsibilities

• Design, build, and operate scalable backend services and APIs using Java and Spring Boot.
• Lead the implementation of complex features and technical initiatives from concept to production.
• Architect reliable, maintainable, and high-performing solutions for a growing SaaS platform.
• Apply AI technologies to improve product development, engineering workflows, and delivery speed.
• Build and maintain internal AI-powered tools, skills, agents, and automations that increase engineering productivity.
• Evaluate and integrate modern AI capabilities into products and development processes.
• Drive software quality, operational excellence, and great developer experience.
• Perform code and solution reviews while promoting engineering best practices.
• Mentor other engineers and contribute to a culture of continuous learning and improvement.
• Collaborate closely with Product, Design, and Engineering teams to deliver outstanding customer experiences.

What You'll Bring

Required

• Strong experience building backend applications with Java and Spring Boot.
• Experience designing, building, and operating scalable software systems in cloud-based SaaS environments.
• Strong understanding of software architecture, distributed systems, and modern engineering practices.
• Experience with cloud platforms such as Azure, AWS, or GCP, as well as CI/CD pipelines and containerized environments.
• Hands-on experience integrating AI into products, engineering workflows, or software development processes.
• Familiarity with AI development frameworks such as LangChain, LangGraph, or similar technologies.
• Strong proficiency with modern AI engineering tools such as Claude Code, Codex, Cursor, NotebookLM, or similar solutions.
• Excellent communication, problem-solving, and collaboration skills.
• A growth mindset and enthusiasm for exploring new ways to build software using AI.

Nice to Have

• Experience with agent architectures, orchestration frameworks, or AI-powered SaaS products.
• Experience building internal AI platforms, agents, or developer productivity tooling.
• Knowledge of RAG architectures and modern LLM application patterns.
• Python experience for automation and AI-related development.
• Experience with Kubernetes and cloud-native infrastructure.

What Makes This Role Different

This is not a machine learning research role and we are not looking for candidates who specialize in training AI models.

Instead, we're looking for strong software engineers who understand how to use AI effectively to build products, improve engineering workflows, and help drive the adoption of AI across the software development lifecycle.

You'll play an important role in Crewmeister's journey toward AI-enabled product development and help define how modern engineering teams leverage AI to deliver more value, faster.

Why Crewmeister

• Join one of Europe's fastest-growing SaaS companies.
• Help shape the future of AI-enabled software development.
• Work on meaningful products used by thousands of businesses.
• Be part of a collaborative engineering culture focused on learning, ownership, and continuous improvement.