We’re a software house passionate about building solutions that change how our clients use data and artificial intelligence. For over 9 years, we’ve been developing innovative AI-driven products such as InfraSenses and SolarSpy — not just using ready-made tools, but also building machine learning models from scratch.
We are looking for a QA Engineer to support AI and GenAI solution testing for our insurance industry client. The role requires prior QA experience, basic exposure to GenAI output validation, and an understanding of insurance domain processes.
responsibilities :
Create and execute test cases based on functional and user story requirements
Perform manual and semi-automated testing of GenAI-based features
Validate model outputs, UI behaviour, and end-to-end flows
Log, track, and manage defects through resolution
Coordinate with developers, product managers, and business analysts
Support UAT and production readiness validation
requirements-expected :
2–5 years of QA experience in web/API-based applications
Understanding of insurance domain (preferably in underwriting/claims)
Exposure to testing GenAI model outputs and prompts
Experience with QA tools ADO, JIRA, Postman, Selenium
Strong attention to detail, documentation, and teamwork skills
Comfort working in agile sprints and fast-paced deliveries
offered :
The opportunity to work on interesting and innovative projects for a client in the insurance industry
A chance to grow under the guidance of experienced QA and software engineering professionals
A training budget to support your technical and professional development
Private medical care and co-financing of a sports card
Flexible working hours and the option to work fully remotely
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
