AI QA Automation Engineer

Engineer

AI QA Automation Engineer

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  • Date posted
    July 8, 2026
  • Expiration date
    October 8, 2026
  • Application ends
    October 8, 2026

We are seeking an AI Quality Engineer with a strong automation skillset to ensure the robustness, performance, and reliability of our AI systems and services. The ideal candidate is tech-savvy, proactive, and passionate about quality at every step—from initial design through deployment and ongoing monitoring. You will play a key role in building and maintaining a highly automated testing infrastructure to support fast, reliable model and pipeline delivery as the company scales.

Roles and Responsibilities

Testing Expertise:
Possess a strong technical background and a deep understanding of the project’s technology stack.

Collaborate with technical leads and architects to make informed decisions.

Address technical challenges and facilitate solutions.

Diligently handle new feature development, conducting impact analysis, coordinating with Product Manager for the development of the new features.

Troubleshooting and resolution of production issues.

Take ownership of the deployment and improve deployment process.

Work on technical debt by upgrading various framework/libraries that would improve performance and security.

Automation-First Approach:
Develop, maintain, and extend a fully automated testing suite that covers unit, integration, performance, and end-to-end testing.

Emphasize automation to minimize manual intervention and maximize test coverage, reliability, and repeatability.

DevOps & CI/CD Integration:
Collaborate closely with DevOps to ensure all tests (including those for model deployment and data pipelines) are tightly integrated with modern CI/CD workflows.

Streamline rapid yet safe releases through automation and timely feedback.

Automated Testing Frameworks:
Extensive hands-on experience with frameworks such as Pytest (Python testing), Playwright (end-to-end browser testing), Postman (API testing), and Langfuse (LLM output tracking/testing).

Implement and maintain robust API contract testing to ensure reliable interactions between services.

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