Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-native QA Engineer based in the United States.
This role sits at the intersection of quality engineering and modern AI systems, where testing is no longer just validation but an intelligent, automated, and continuously evolving process.
You will design and build AI-augmented QA frameworks that leverage LLMs to accelerate test creation, bug detection, and regression coverage.
The work is highly technical, combining automation, backend validation, and AI-driven workflows to ensure product reliability at scale.
You will collaborate closely with engineering, product, and research teams to validate fast-moving releases in a high-velocity environment.
The role emphasizes ownership, experimentation, and the ability to turn complex systems into robust and testable architectures.
You’ll be expected to integrate tools like LLMs into daily QA operations, fundamentally reshaping how quality is engineered.
This is a hands-on, high-impact position within a fast-growing AI-native organization.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-native QA Engineer based in the United States.
This role sits at the intersection of quality engineering and modern AI systems, where testing is no longer just validation but an intelligent, automated, and continuously evolving process.
You will design and build AI-augmented QA frameworks that leverage LLMs to accelerate test creation, bug detection, and regression coverage.
The work is highly technical, combining automation, backend validation, and AI-driven workflows to ensure product reliability at scale.
You will collaborate closely with engineering, product, and research teams to validate fast-moving releases in a high-velocity environment.
The role emphasizes ownership, experimentation, and the ability to turn complex systems into robust and testable architectures.
You’ll be expected to integrate tools like LLMs into daily QA operations, fundamentally reshaping how quality is engineered.
This is a hands-on, high-impact position within a fast-growing AI-native organization.
