QA Engineer Intern: AI-driven test automation

Algoan is a fintech, founded in 2018, revolutionising the credit sector by building fairer and more transparent credit decisioning tools. Europe’s leader in Credit Scoring API, it provides financial institutions, retailers and fintech with credit decisioning tools that can be used in a variety of use cases such as BNPL, consumer credit, car subscription, mortgage and much more. We work with major players (Sofinco, Cofidis, Revolut, etc.) to improve user experience and acceptance rates while reducing the risk of over‑indebtedness. Based on Open Banking (the secure sharing of bank account data), Algoan solutions enable a cut of credit risk by up to 50% and an increase in loan production by up to 40% while lowering processing costs, and offering a seamless 100% digital pathway to credit applicants. Today, Algoan is scaling faster than ever, driven by international expansion across Europe and the upcoming DCC2 regulation, which is accelerating demand and API call volumes at an unprecedented pace. Our Product team drives this transformation, working in squads. The Open Banking squad is responsible for our banking aggregation product, which allows loan applicants to securely share their banking history and from which we calculate a credit score. The Credit Decisioning squad is responsible for our credit decisioning solution, based on the retrieved banking history. You will be involved in all aspects of one of the squads: strategy, execution and performance monitoring. Tasks Main Mission To support our growth, we are looking for a QA Engineer Intern specialized in AI‑driven test automation to reinforce the quality and robustness of our products. Your mission will be to help design and execute modern testing strategies, combining classical QA best practices with innovative, AI‑powered approaches. You will join a cross‑functional squad working on critical financial products used by major institutions across Europe. In close collaboration with developers, QA engineers, DevOps engineers, data scientists, and product managers, you will actively contribute to embedding quality throughout the entire product lifecycle while experimenting with intelligent testing solutions. Key Responsibilities Understand functional specifications and product requirements to define and propose relevant testing strategies, enhanced by AI‑driven approaches where appropriate. Design, develop, and maintain automated test suites (unit, integration, end‑to‑end) for APIs and front‑end applications. Develop intelligent test scripts capable of automatically detecting anomalies and optimizing test execution cycles. Test, evaluate, and integrate AI frameworks or models to strengthen and modernise our software validation processes. Collaborate closely with developers and the QA team to co‑build reliable solutions and continuously improve testability. Integrate automated tests into CI/CD pipelines to ensure continuous quality and fast feedback. Analyse test results, identify quality risks or regressions, and refine testing strategies accordingly. Share findings, learnings, and improvement ideas with the team to foster a strong quality culture. Participate in the squad’s full product lifecycle: discovery, delivery, monitoring, and continuous improvement, with a strong focus on quality and reliability. Requirements Must‑have Currently pursuing a Master’s degree in Computer Science, Software Engineering, or equivalent engineering school, with a focus on testing, development, or test automation. First professional experience through an initial internship, apprenticeship, or academic project in software development, QA, or automation. Solid understanding of software testing fundamentals (test strategies, test cases, defect lifecycle). Hands‑on experience or strong interest in test automation tools such as Playwright, Cucumber, or similar frameworks. Basic knowledge of web and mobile application usage, including common user flows and edge cases. Strong analytical mindset with a genuine interest in investigating anomalies and reporting clear, actionable issues to developers. Team player with good communication skills and a collaborative, problem‑solving attitude. Strong interest in AI‑driven or intelligent testing approaches applied to software quality. Nice‑to‑have Exposure to AI frameworks, machine learning models, or experimentation tools applied to testing or quality analysis. Experience with API testing (REST, Postman, automated API tests). Familiarity with CI/CD pipelines, Git workflows, or containerised environments (Docker). Interest in R&D topics, test optimisation, or innovative quality practices. Previous experience or curiosity about fintech, data‑driven products, or API‑first platforms. Profile Student or recent graduate with a strong technical foundation and a keen interest in software quality. Curious, detail‑oriented, and comfortable working in fast‑paced, modern tech environments. Autonomous, proactive, and eager to learn from experienced engineers. Passionate about software testing, quality culture, and continuous improvement. Benefits A passionate and ambitious team. A culture of innovation and collaboration. Exciting and diverse technical challenges. Flexible work environment (2 days in the office in the centre of Paris). An opportunity to have a direct impact on the company’s productivity. Compensation: €1 500 gross per month + meal vouchers + 50 % reimbursement of public transportation costs. Hiring Process Introductory Call with the QA Lead (30 min) Technical Test Test Debrief with the Team Final Interview with the CTO (30 min) #J-18808-Ljbffr