QA Engineer (AI Platform)

TL;DR

QA Engineer (AI Platform): Ensuring quality and reliability of cutting-edge AI systems and platforms with an accent on building and maintaining robust test automation frameworks. Focus on designing scalable UI, API, and system-level tests and integrating them into CI/CD pipelines.

Location: Onsite in Mountain View, California, US

Company

hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for public benefit and scientific discovery.

What you will do

• Collaborate with engineers, product managers, and researchers to understand requirements and define comprehensive quality and testing strategies.
• Design, develop, and maintain robust and scalable test automation frameworks for UI, API, and system-level testing.
• Integrate automated tests into CI/CD pipelines to provide continuous feedback to development teams.
• Perform manual testing for exploratory, usability, and edge-case scenarios where appropriate.
• Identify, document, and track bugs through to resolution, and run bug triage meetings.
• Define and report on key quality metrics to provide a clear picture of product health and release readiness.

Requirements

• Proven experience as a QA Engineer, Software Development Engineer in Test (SDET), or similar technical quality role.
• Strong programming skills in at least one language (e.g., Python, C++, C#, or Java).
• Hands-on experience designing and implementing test automation frameworks (e.g., Pytest, Selenium, Playwright, XCUITest).
• Experience with CI/CD systems (e.g., Jenkins, Google Cloud Build) and version control (e.g., Git).
• Excellent communication skills and the ability to work effectively with diverse, cross-functional teams.
• The ability to thrive and adapt in a rapidly changing, highly-agile research and development environment.

Nice to have

• Experience with cloud platforms (GCP, AWS, Azure).
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Experience with performance, load, or security testing.
• Familiarity with machine learning concepts or experience testing AI/ML systems.

Culture & Benefits

• Committed to diversity of experience, knowledge, backgrounds, and perspectives.
• Dedicated to equal employment opportunity regardless of protected characteristics.
• Provides accommodations for disabilities or additional needs.
• Collaborative environment focused on advancing AI for widespread public benefit and scientific discovery.
• Opportunity to work on cutting-edge AI systems deployed to millions of users.
• Ensures safety and ethics are the highest priority in AI development.