Senior Staff Engineer - AI/ML QA Engineer

7 Months ago • 4-8 Years

Quality Assurance

Job Description

This Senior Staff Engineer - AI/ML QA Engineer role requires leading QA efforts to ensure software and AI system reliability. Responsibilities include building and maintaining automated test frameworks (Python, Robot Framework) for APIs, UI, backend, and data pipelines; integrating automated tests into CI/CD pipelines; conducting functional, performance, and exploratory testing; collaborating with engineers and product teams on quality strategies and metrics; and debugging and resolving complex QA issues, including AI/LLM challenges. The ideal candidate possesses expert-level Python skills and general test automation framework experience, along with fundamental GenAI/LLM testing knowledge.

Good To Have:

Docker
Robot Framework

Must Have:

Python (Expert)
Test Automation Framework
GenAI/LLM Testing Fundamentals
Build automated test frameworks
Integrate tests into CI/CD
Conduct functional and performance testing

Add these skills to join the top 1% applicants for this job

ci-cd

python

docker

quality-control

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Looking for senior QA automation profile who can Lead QA efforts to ensure software and AI system reliability.

Key Responsibilities:

Build and maintain automated test frameworks (Python, Robot Framework) for APIs, UI, backend, and data pipelines.
Integrating automated tests into CI/CD pipelines.
Conduct functional, performance, and exploratory testing. Collaborating with engineers and product teams on quality strategies and success metrics.
Debugg and resolving complex QA issues, including AI/LLM-related challenges.

Qualifications

Must have Skills: Python (Expert), Test Automation Framework - General Experience, GenAI/LLM Testing Fundamentals.

Good To Have Skills: Docker (Capable), Robot Framework.

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