QA Engineer (m/f/d) | Legal AI Tech Start-up | Full Remote
Permanent employee, Full-time · Berlin, Mobile/Hybrid
Our offer for youAs a QA Engineer, you will play a key role in ensuring the quality and reliability of our products through comprehensive manual and automated testing. You’ll work closely with developers, product managers, and UI designers to define and implement test strategies, integration testing, and automation frameworks. By taking ownership of the testing process, you will help improve test coverage, optimize release cycles, and ensure a seamless user experience.
YOUR TEAM
The Tech team consists of around 10 individuals who work remotely or at the office in Berlin city center. Besides the development team, Xayn’s technical lead and an external consultant team handle various tasks related to providing Xayn’s development team with the necessary technical environment, ensuring the smooth operation and scalability of Xayn’s AI applications.
YOUR HIRING MANAGER
Simon is heading the Tech Team (Development, Infrastructure). With more than 15 years of experience in software development, he is an advocate for product driven development, solving real life problems.
OUR BENEFITS
Working hours: Flexible working hours: Full-time (32- 40h/week).
Vacation: 26 days + December 24th & 31st off
Remote: 100% remote work possible (given a German residence), other countries upon request
Discounts: e.g. Urban Sports Club Membership
Equipment: Laptop (Lenovo or Mac), second screen, keyboard etc.
Your responsibilities
Take ownership of the entire testing process and set up a thorough testing strategy, ensuring quality across all development stages Perform manual testing, while identifying opportunities for automation Design and execute integration tests, taking responsibility for their implementation
Maintain a strong focus on manual testing, particularly for core features Support the setup and optimization of CI/CD pipelines using GitHub Actions
Utilize and expand test automation frameworks like Cypress to improve test coverageWork with at least one programming language (e.g. JavaScript, TypeScript or Python) to support automation efforts
Our Tech Stack
Testing: Cypress and/or other test frameworks as needed
Programming: e.g. JavaScript, TypeScript & Python
Ticket System: JIRA
Repository: GitHub
CI/CD System: GitHub Actions, GitLab, Jenkins
Documentation: Confluence
Communication: Slack
Office Application: MS365
About you
Work permit: EU
Language: English (fluent)
Strong manual testing expertise, with the ability to design and execute comprehensive test cases.
Experience in test automation, identifying areas for automation and implementing solutions with Cypress or similar frameworks.
Proficiency in test strategy, process ownership, and integration testing, ensuring high test coverage and structured workflows.
Ideally programming skills in at least one language, preferably JavaScript, TypeScript, or Python.
Familiarity with CI/CD pipelines and DevOps tools, such as GitHub Actions, GitLab, or Jenkins.
Experience with bug tracking and test management, using Jira or similar tools.
About us
The AI startup Xayn develops Noxtua, Europe’s first sovereign Legal AI. Noxtua helps lawyers analyze and draft legal documents and research legal questions while being legally competent and compliant. Hosted in the EU, Noxtua meets high standards of confidentiality in handling client data, professional secrecy (e.g. Section 203 German Criminal Code, Section 43e German Federal Code for Lawyers), and European data protection. Noxtua is powered by specialized proprietary AI models. The models are trained with high-quality legal data provided by the Legal AI Alliance which the tech startup Xayn initiated with the international business law firm CMS. This makes Noxtua the secure, independent, and specialized European Legal AI.
The Berlin-based AI company Xayn was born out of research at Oxford University and Imperial College London by Dr Leif-Nissen Lundbæk and Professor Michael Huth. Founded in 2017, Xayn’s academic vision remains, with a workforce comprised of approx. 30% PhDs. The startup has received investment funding of 19.5 million EURO from Global Brain Corporation, KDDI Open Innovation Fund, Earlybird, and Dominik Schiener.
