Applied AI Engineer

• Build new AI-powered product features from idea to production
• Improve existing AI workflows for quality, reliability, latency, and user value
• Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior
• Build evaluation loops, tests, and quality checks for AI-generated outputs
• Integrate AI capabilities into existing product and backend systems
• Work with commercial and open-source LLMs without being tied to one specific provider
• Support self-hosted model workflows where they make sense for quality, speed, cost, or control
• Debug AI feature failures across inputs, outputs, data, backend logic, and user flows
• Use AI development tools as a core part of your daily workflow
• Ship quickly while keeping production quality high
• Work closely with product and engineering while taking ownership of technical decisions and outcomes

• Strong software engineering skills, especially in Python or a comparable backend language
• Experience building AI-powered product features or LLM-based workflows
• Ability to turn ambiguous product ideas into working software quickly
• Strong understanding of how to design, test, validate, and improve AI outputs
• Experience integrating AI workflows into production systems
• Strong debugging instincts across application logic, data, model outputs, and user-facing behavior
• Experience with evaluation, testing, validation, or quality checks for AI-generated outputs
• Serious experience using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar as part of your daily workflow
• High intelligence, fast learning speed, bias to action, and ownership mindset
• Comfortable with ambiguity, fast decisions, and a high-trust startup environment
• Clear written and spoken English
• Experience with frontend or fullstack product development
• Experience with self-hosted LLMs, model serving, inference optimization, or similar systems
• Experience with open-source LLMs and related deployment workflows
• Experience improving latency, cost, quality, or reliability of AI systems
• Experience with healthcare software, healthcare data, or regulated environments
• Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation
• German language skills
• Knowledge of nursing homes or elderly care workflows

• Remote work
• Fair compensation based on skills, experience, and location
• Ownership of important backend systems
• Work on software used in real healthcare workflows
• Modern AI-native development workflow
• Room to grow with the company