Qa Engineer (Ai With Gcp) - Mexico (Remote)

Saransh Inc; México; Remote; MXN 450,000 - 650,000; Full time

Job summary

Saransh Inc. is seeking a hands-on QA Engineer AI with GCP to test Agentic AI workflows in a Google Cloud environment. You will drive API and end-to-end testing, validate AI-generated outputs, and ensure data integrity across datasets.

The role requires independent design and execution of test scenarios, plus ability to troubleshoot and explain concrete implementations. Remote within Mexico is supported.

Qualifications

• 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.

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.

Skills

Agentic AI testing

GCP services

API testing

Data validation

Test-case generation

Independent test design

Tools

BigQuery

Cloud Run

Cloud Scheduler

Job description

Candidates must be currently located in Mexico

Role:

Client is looking for a QA Engineer AI with GCP.

Looking for candidates who have strong hands‑on experience in Agentic AI workflow testing, GCP services, API testing, and end‑to‑end data validation

Prioritizing candidates who can explain specific implementations and real troubleshooting examples. General familiarity with AI tools or theoretical knowledge of Agentic AI testing alone will not be sufficient.

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.

QA Engineer (AI with GCP) - Mexico (Remote) Mexico