AI Engineer, LLM

Job Description: 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 outcomesRequirements: 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 workflowsBenefits: 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