We are looking for 10+ hands-on QA Engineer with experience testing Agentic AI workflows in a Google Cloud Platform (GCP) environment. The adecuado 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 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.
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.
📌 QA Engineer - AI with GCP (México)
🏢 Celestir
📍 México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.