We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Role & seniority: QA Engineer (mid-level, 2+ years experience)
Stack/tools
Web app testing across front-end, back-end, APIs
JavaScript proficiency
End-to-end testing frameworks: Cypress or Playwright (or willingness to learn)
AI-focused testing practices; basic automation in JavaScript
Top 3 responsibilities
Test an AI-powered product across front-end and back-end areas (manual, exploratory, regression)
Validate AI outputs (correctness, consistency, edge cases, failure scenarios) and real user flows
Collaborate with front-end/back-end engineers on quality, risks, and requirements; contribute to test automation
Must-have skills
2+ years QA experience
Practical understanding of AI-based systems
Strong knowledge of how web apps work (front-end, back-end, APIs)
Solid JavaScript skills
Experience with E2E testing frameworks (Cypress/Playwright) or willingness to learn
Product-oriented mindset, risk-aware, good English (B2+)
Nice-to-haves
GitHub project portfolio
Docker, Node.js
AWS experience
Knowledge of web security and OWASP Top 10
Location & work type
Poland-based; B2B contract
Flexible schedule; fully remote option available
Competitive PLN compensation; additional benefits described in posting
Notes: Initial onboarding includes mentorship and structured ramp-up; technical screening and live task.
Full Description
We are the company that stands behind the spectacular success of CKEditor, used by millions of people around the world. At CKSource we produce software components that other developers use to build their applications (WYSIWYG editor, file manager, document converters, etc.). Our flagship product is CKEditor 5 – an open-source, modern JavaScript (soon TypeScript) rich text editor with custom data model and virtual DOM – check our GitHub repository.
We are part of Tiugo Technologies, a launchpad for new developer platforms, helping software companies accelerate growth, increase operating efficiency, and scale their business. Tiugo contains a suite of brands that are API-first, market-leading developer platforms focused on content creation and digital collaboration. Tiugo’s current family of brands includes CKEditor, TinyMCE, ButterCMS, and Uploadcare.
Together our products have powered millions of software applications and websites. Enabling content and communication in everything from Microsoft to NASA, you might not know our name, but you’ve probably used our software.
Your New Role
As part of a portfolio of best-in-class developer tools, we are looking for a person who will join our QA team to help us to keep the quality of our products at the highest level. The perfect candidate would have a mix of soft and technical skills and be open-minded, patient, and creative.
As a QA team member, you will be responsible for the quality of products with a primary focus on the AI project. You don’t need to be an AI expert; we value curiosity, critical thinking, and the ability to question AI outputs over deep ML knowledge.
You’ll have strong support from experienced QA Engineers who will introduce you to projects and help you during your onboarding. We know how important the first days in a new job are, so we will make sure that you will have time to learn about our products and how we work 🙂
Key Responsibilities
testing an AI-powered product across front-end and back-end areas;
performing manual, exploratory, and regression testing, with a focus on real user scenarios and edge cases;
testing AI-driven features, including prompt-based flows, generated content, and non-deterministic behavior;
validating AI outputs for correctness, consistency, edge cases, and failure scenarios;
collaborating closely with front-end and back-end engineers on quality, risks, and requirements;
gradually contributing to test automation using JavaScript, with tools like Cypress and Playwright;
reporting and verifying issues with clear context and impact.
To be successful in this role you need the following
2+ years of experience as a QA Engineer;
practical understanding of AI-based systems, gained through commercial, personal or non-commercial projects;
