Description

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 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.

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

Key Skills

Education

Any Graduate