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