Quality Engineer, Tools and Automation

We are looking for a highly skilled Senior Automation u0026 AI Engineer to join our Quality Engineering team bringing deep expertise in backend and services testing with cutting-edge knowledge of LLMs AI agents and intelligent pipelines. nnThis dual-impact role requires a strong individual contributor who can independently architect world-class test automation systems while collaborating cross-functionally with engineering and project management teams. nnThe ideal candidate will have strong analytical and bug reporting skills with the ability to manage a high volume of changes and reduce manual testing effort through intelligent automation.

Day to day this role involves bug reporting and isolation test plan documentation and writing test case automation done in close collaboration with engineering and program management. Work spans CI/CD pipelines and web service testing to qualify enterprise-grade customer-facing releases across a high volume of changes.

Architect build and maintain scalable **UI and API test automation frameworks** (e.g. Selenium Playwright) across web REST/GraphQL microservices and backend systemsnApply LLMs and ML techniques to expand test coverage automate defect triage and surface quality insightsnIntegrate AI/ML models into QA workflows for anomaly detection log analysis and failure classificationnBuild and maintain API contract performance and reliability test suites across distributed systemsnEvaluate emerging AI tools and testing methodologies to modernize the QA toolchainnIsolate and report bugs document test plans and write test-case automation in close collaboration with engineering and program management

Bachelors degree in Computer Science or equivalent experiencen5 years of experience in test automationnExperience with API/server-side automationnExperience programming in a high-level language such as JavanExperience with databases and SQLnExperience creating test plans and QA processesnExperience with prompt engineering model fine-tuning or integrating LLM APIs (e.g. OpenAI Gemini or on-device models)nExperience with automation tools/test frameworks (Gradle Maven JUnit)n

Experience with UI automation frameworks such as Selenium Playwright or AppiumnExperience building RAG pipelines and integrating vector databasesnHands-on experience integrating LLM APIs and AI/ML models into QA workflowsnExperience with Kubernetes/DockernContributions to open-source test automation or AI projectsn2 years of experience in AI engineering or QE toolingnExperience qualifying enterprise-grade customer-facing releases under CI/CDnExperience collaborating cross-functionally with engineering and program management to drive quality outcomesn