Job Title: QA Engineer – AI with GCP

Location:
Remote

Job Type
Contract Position Job Title: QA Engineer – AI with GCP

Job Description
We are looking for a hands-on QA Engineer with experience testing Agentic AI workflows in a Google Cloud Platform (GCP) environment. The idóneo candidate should have practical experience in API testing, end-to-end workflow validation, data integrity checks, and AI-assisted test-case generation. Candidates must be able to independently design, execute, and troubleshoot test scenarios and validate AI-generated outputs.

Key Responsibilities
• Test Agentic AI workflows and AI-driven applications in a GCP environment.
• Work with GCP services, particularly BigQuery, Cloud Run, and Cloud Scheduler.
• Perform API testing and end-to-end testing to validate workflow functionality and data processing.
• Validate data accuracy and consistency across multiple datasets; investigate discrepancies and troubleshoot failures.




• Use AI tools to generate test cases and test plans, validate generated outputs, and ensure adequate test coverage.
• Implement human review and validation processes for AI-generated test cases.
• Identify defects, perform root cause analysis, and document test results. Required Skills
• Hands-on experience testing Agentic AI workflows or AI-driven applications.
• Experience with GCP, particularly BigQuery, Cloud Run, and Cloud Scheduler.
• Strong API testing and end-to-end integration testing skills.
• Experience with data validation, reconciliation, and troubleshooting across datasets.
• Practical experience using AI tools for test-case generation and validation.
• Ability to independently design and execute test scenarios with minimal guidance.
• Strong analytical and problem-solving skills.

📌 QA Engineer – AI with GCP (México)
🏢 ITMC Systems
📍 México