QA Engineer - AI with GCP

Job Title: QA Engineer - AI with GCP Location: Remote/Mexico Engagement Type: Long Tem ContractWork Model: Remote
Role OverviewWe are looking for 10+ hands-on QA Engineer with experience testing Agentic AI workflows in a Google Cloud Platform (GCP) environment. The ideal 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.
Required SkillsHands-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.
Key ResponsibilitiesTest 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.