Ensure AI agents perform consistently before and after going live;

Monitor performance across different healthcare environments and languages;

Liaise with the clinical team to create protocols and understand what clinically relevant parameters should be monitored;

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.

Fluently speak Greek;

Comfortable speaking and understanding English (doesn't need to be perfect);

2-6 years of experience in QA, testing, or analytical roles;

Strong analytical and problem-solving skills;

Comfortable learning new technologies and methodologies;

Curious about the evolving AI landscape.