Quality Engineer, Tools and Automation

We are looking for a highly skilled Senior Automation & 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. This 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. The 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.

Description

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.

Minimum Qualifications

Bachelor's degree in Computer Science or equivalent experience
5+ years of experience in test automation
Experience with API/server-side automation
Experience programming in a high-level language such as Java
Experience with databases and SQL
Experience creating test plans and QA processes
Experience with prompt engineering, model fine-tuning, or integrating LLM APIs (e.g., OpenAI, Gemini, or on-device models)
Experience with automation tools/test frameworks (Gradle, Maven, JUnit)

Preferred Qualifications

Experience with UI automation frameworks such as Selenium, Playwright, or Appium
Experience building RAG pipelines and integrating vector databases
Hands-on experience integrating LLM APIs and AI/ML models into QA workflows
Experience with Kubernetes/Docker
Contributions to open-source test automation or AI projects
2+ years of experience in AI engineering or QE tooling
Experience qualifying enterprise-grade, customer-facing releases under CI/CD
Experience collaborating cross-functionally with engineering and program management to drive quality outcomes