Role Description Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies. We specialize in building and executing multi-layered automation frameworks across integration, system, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases. Responsibilities and Duties - Apply testing knowledge — including testing theory and test design techniques — to contribute to product quality on an assigned project, and create test cases from requirements and specifications. - Report defects following established templates, verify bug fixes, and document test results for the assigned scope. Qualifications - Understanding of QA and QC principles. - Basic Linux knowledge (CLI navigation, file system). - Knowledge of testing methodologies, test design techniques, test types. - Theoretical knowledge of SQL, web services. - At least an Upper-Intermediate level in both written and spoken English (B2). Requirements - Understanding of SDLC. - Understanding of test cases and project management systems. - Understanding of network principles. Benefits - The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member. - Competitive compensation and perks. - Gig-contract (6 months). - 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. - Development opportunities like corporate courses, knowledge hubs, and free English classes. - Medical insurance is provided from day one. Sick leaves and medical leaves are available. - Remote working mode is available within Ukraine only. - Free meals, fruits, and snacks when working in the office.

• Design risk-based test strategies for new features and releases, then rapidly convert those strategies into automated coverage using AI-assisted development workflows • Use Claude Code within VS Code or equivalent AI coding agents as your primary development environment to generate, scale, and maintain automated test coverage • Build and maintain automated test suites using Playwright, integrated within GitHub CI/CD pipelines, ensuring quality gates are embedded throughout the software development lifecycle • Design and implement agentic testing workflows that generate, adapt, and maintain automated tests using AI models and APIs • Build reusable frameworks, utilities, shared libraries, and AI-powered tools that increase test authoring velocity across engineering teams • Partner closely with engineers, product managers, and designers to shift quality left, influencing requirements, design decisions, observability, and deployment strategies • Continuously improve test suite health by reducing flakiness, increasing execution speed, and ensuring reliable quality signals for every release • Drive quality upstream by identifying risks early and implementing preventative quality practices • Own and improve quality metrics including automated coverage growth, escaped defects, test execution performance, flakiness rates, and release confidence • Enable developers to write, execute, and maintain automated tests as part of their daily workflow

• Collaborate with Development, Product Management, and UX teams to define and understand quality requirements for AI-powered applications. • Analyze product requirements, user stories, and technical designs to create comprehensive test strategies, test plans, and test cases. • Validate AI-driven features such as AI Agents, Agent Assist, Supervisor Assist, knowledge-based experiences, and other AI-powered applications. • Design, develop, and maintain automated test frameworks and automated test suites for frontend, backend, and API testing. • Own and execute existing automation suites, investigate failures, identify defects, and drive issues to resolution. • Develop new automated tests and contribute to the continuous improvement of the team’s automation infrastructure. • Perform manual exploratory, functional, regression, integration, and end-to-end testing as needed. • Collaborate with developers to identify root causes of issues and improve overall product quality. • Review automation code and provide technical guidance to other QA engineers. • Participate actively in Agile ceremonies, sprint planning, backlog refinement, and release activities. • Document, report, and track software defects using Jira and other engineering tools. • Help improve QA processes, testing methodologies, and quality standards across the AI Apps organization.

• Design and execute QA test plans aligned with team standards. • Collaborate with the Scrum Master, Business Analyst (BA), and Technical Architect (TA) to clarify requirements, resolve issues promptly, and recommend improvements where appropriate. • Participate in debugging and defect triage activities. • Develop, implement, and document manual and AI agent-enabled functional and regression tests. • Manage and prioritize tasks to meet project timelines. • Support and recommend testing strategies in collaboration with the QA Lead. • Independently deliver small projects with minimal guidance. • Ensure release quality through Test-Driven Development (TDD) practices and test coverage reviews. • Participate in Root Cause Analysis (RCA) investigations and drive continuous improvements. • Contribute to broader team goals and departmental priorities. • Recommend and implement process improvements, particularly in the adoption and use of AI within QA practices. • Perform other duties and responsibilities as assigned.