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# AI Project - QA Automation Engineer

- **Company:** TIMEBOX PRO LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $7,000.0 - $15,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Continuous Integration, Data as a Services, Postman, Large Language Models, Backend, Pytest, Integration Tests, Enterprise Integration, Restful APIs, Api Management
- **Published:** July 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7578bfb8738df4c0

## About the Role

We are seeking highly skilled QA Engineer 3-5 years experience with expertise in AI-driven systems to support the AI initiative. The role involves validating AI-powered customer interactions and ensuring high-quality, scalable, and reliable system behavior across multiple channels., * Strong experience in QA methodologies and automation frameworks.

 * Hands-on experience testing AI/LLM-based applications.

 * Experience with API testing and automation tools (e.g., pytest, Postman, REST frameworks).

 * Understanding of multi-channel communication systems (chat, voice, email).

 * Experience with CI/CD tools and pipeline integration.

 * Strong analytical and problem-solving skills.

## Description

* Execute standard QA testing cycles including Functional, Regression, and Synthetic testing.

 * Validate AI-driven customer interactions across chat, voice, and email channels.

 * Perform integration testing with backend systems (APIs, case management, data services).

 * Test agent handoff and escalation workflows to ensure seamless transitions.

 * Ensure consistency of customer experience across multiple communication channels.

 * Conduct User Experience (UX) testing for clarity, usability, and interaction quality.

 * Perform Data Quality testing to validate accuracy and completeness of data used by AI systems.

 * Develop and maintain QA automation frameworks and test suites.

 * Design and implement AI-driven test suites to validate model accuracy, response quality, consistency, and overall system behavior.

 * Build and maintain API test automation.

 * Develop conversation simulation tests for AI interaction validation.

 * Maintain and enhance regression automation suites.


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