
AI Automation Quality Assurance Specialist
24 hours ago
We are building an innovative AI-powered talent platform that connects skilled professionals with companies across the US.
About the RoleAs a fast-growing startup, we're focused on impactful growth and exceptional results. As a QA Engineer, you'll ensure the reliability, performance, and scalability of our AI automation products.
Key Responsibilities:- Design and execute comprehensive test strategies for AI automation products.
- Collaborate with Engineering, Product, and Solution Enablement teams to translate requirements into robust test plans.
- Identify potential edge cases, failure points, and system-level risks early in the development lifecycle.
- Develop automated test suites (unit, integration, regression, performance, end-to-end).
- Write test automation code in Python/JavaScript and integrate into CI/CD pipelines.
- Build reusable test frameworks that scale across multiple products and teams.
- Research, evaluate, and implement AI-driven QA tools and methodologies.
- Apply AI to test generation, anomaly detection, log analysis, and continuous validation.
- Champion best practices for AI-enabled QA within the organization.
You'll spend your day reviewing overnight CI/CD test runs, investigating failures, and triaging issues. You'll meet with Engineering to discuss new feature test coverage. In the afternoon, you'll run end-to-end validation on a new customer-facing automation workflow and host a sync with Product to clarify acceptance criteria.
RequirementsWe're looking for someone with 3+ years of experience in QA, software engineering, or test automation. You should have strong programming skills in Python and/or JavaScript and a solid understanding of APIs, system integrations, and test automation frameworks. Experience with CI/CD systems and AI/ML-driven testing tools is a plus.
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