You develop and maintain a company-wide ecosystem for AI-supported software development – from IDE configurations and AI rules to best practices;
Every day, you work with AI coding assistants (Claude Code, GitHub Copilot, Cursor) and understand their strengths and limitations;
Furthermore, you optimize the software development lifecycle through targeted AI integration – from requirements analysis to code review;
Here, you evaluate new AI tools and technologies (MCP, agentic workflows, agent skills) and decide which ones deliver real added value;
Additionally, you develop context engineering strategies – from system prompts and AI rules to documentation standards;
You actively share your knowledge within the developer community through hackathons, conferences, workshops, and training sessions;
Moreover, you collaborate closely with development teams to promote AI adoption and create a positive developer experience.
What should you bring along?
University degree in computer science, mathematics, software engineering, or a comparable field;
At least 5 years of professional software development experience, including a minimum of 12 months of hands‑on experience using AI‑assisted development tools in production environments;
Profound understanding of the software development lifecycle and agile methodologies;
Experience with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, Windsurf, or similar;
Knowledge in context engineering, prompt engineering, agentic workflows, MCP, and agent skills;
Solid programming skills in at least one modern language (Python, TypeScript, Java, Go);
Ability to explain complex concepts clearly and understand, critically review and improve AI-generated code.
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