QA Engineer

• Ensure AI agents perform consistently before and after going live;
• Monitor performance across different healthcare environments and languages;
• Establish quality standards that work for AI systems, not traditional software;
• When the AI Agent does not follow the defined protocol, trace why it happened;
• Fix the underlying prompt logic and reasoning chains;
• Create new testing methods to prevent similar issues;
• Figure out how to test systems designed to be intelligent and adaptive;
• Build frameworks for testing across infinite healthcare scenarios;
• Define what "good enough" means for AI in healthcare;
• Manage compliance with MDR (Medical Device Regulation) and AI Act requirements for AI systems together with the compliance team;
• Document quality processes and verification and validation procedures for regulatory submissions;
• Help ensure the algorithms perform with the expected accuracy and do not lead to bias;
• Work with compliance teams to achieve and maintain certification of the relevant algorithms;
• Help establish industry standards for AI quality assurance;
• Become one of the few experts in AI healthcare testing methodologies.

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