Full Description

🌍 About Keyrus Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective. Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities. Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions. At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact. #OneTeamOneKeyrus 🎯 The Role As an AI Quality Assurance Engineer, you will work at the intersection of data, technology, and business, helping our clients turn complexity into clarity and insights into impact. You will join a high-impact Integration Team within a banking/brokerage environment. The Team is responsible for identifying and resolving compatibility issues, communication errors, and data corruption to ensure smooth and reliable software integration. You will play a critical role in reducing risk by catching defects early, validating interface behaviours against design specifications, and maintaining system integrity through automated regression testing. You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and sustainable growth.

📍 Job location: Porto, Portugal (Hybrid 4x/ week on-site)

🕒 Contract type: Uncertain-term

🗓 Target start date: ASAP

⏰ Working hours: Full-time (40h/week)

💵 Compensation: 22k - 25k€ gross/year

Note: All applications (CVs) must be submitted in English. 💥 Your Impact

In this role, you will

• Design and execute comprehensive integration test plans, including automated testing strategies
• Use AI tools to automate test case generation, defect detection, and regression testing
• Collaborate with development teams and stakeholders to identify and resolve integration issues, incorporating AI-driven insights where relevant
• Validate AI components within trading platforms and apply machine learning models to predict failures and optimise testing coverage
• Identify, document, and track defects; verify fixes through systematic regression testing
• Produce detailed testing reports, metrics, risk assessments, and AI-driven insights
• Drive continuous improvement of testing processes and mentor junior QA engineers