AI-native QA Engineer

About the Role:

• This role is for a QA professional who actively leverages AI to redefine quality assurance.
• You will work in a fast-moving startup environment with experimentation and automation at the core.

Key Responsibilities:

• Build and maintain AI-powered QA frameworks using LLM-assisted tools.
• Develop automated test suites for functional, regression, integration, and performance testing.
• Use LLMs to accelerate test generation, bug analysis, and workflow validation.

Requirements:

• 3+ years QA experience with 2+ years in test automation.
• Proven experience using LLMs in QA workflows.
• Strong programming skills in Python with PyTest expertise.

Benefits:

• 20 paid time off days plus U.S. holidays.
• Remote-first work environment.
• Access to modern AI-driven technology stack.