Senior AI-Native Software Engineer/Coach

• Drive the transition towards an end-to-end AI-powered and increasingly autonomous software development model
• Design and implement agentic workflows in which AI agents analyse requirements, write and modify code, execute tests and support code reviews
• Integrate and automate AI-driven solutions within existing enterprise applications and complex development environments
• Define quality standards, human approval gates and governance practices for the safe and traceable use of autonomous AI agents
• Work closely with development teams to establish AI-native ways of working
• Coach and mentor engineers in directing, supervising and validating AI-driven development workflows
• Design and deliver hands-on training sessions and workshops to strengthen AI engineering capabilities and support adoption of AI-powered development practices

• Several years of hands-on software engineering experience, including the development, testing and maintenance of enterprise applications
• Strong practical expertise in generative AI and LLMs, including RAG, structured data extraction, tool and function calling, and agentic workflows
• Extensive hands-on experience using AI-powered development tools and coding agents, such as GitHub Copilot or comparable solutions, as an integral part of daily engineering work
• Experience implementing AI-powered automation within existing projects, as well as knowledge of DevOps, testing and modern development practices
• Solid understanding of the end-to-end Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC)
• Ability to rapidly build prototypes, experiment with new approaches and challenge traditional software development processes
• Proven experience in coaching and mentoring software engineers, delivering technical training and enabling teams to adopt new tools, methodologies and AI-native engineering practices
• Fluent in English
• German is a big plus (not required)