AI-Driven Quality Engineer — Test Automation

Apt

Dallas (TX)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Apt is seeking a Quality Engineer, AI & Test Automation in Dallas to modernize testing with automation-first, engineering-integrated, and AI-enabled approaches. You will design, build, and maintain automated test suites for API, UI, data validation, and end-to-end validation, integrating tests into CI/CD pipelines.

You will collaborate with Product, Engineering, AI Foundation, Security, Privacy, and operations teams to embed quality across the development lifecycle, defining evaluation methods

Qualifications

  • Bachelor level degree required or equivalent combination of education and experience.
  • 5–8+ years of quality engineering, software testing, test automation, SDET, or AI quality roles.
  • Hands-on experience designing and implementing automated tests for APIs, web or mobile applications, data validation, integrations, or end-to-end product experiences.

Responsibilities

  • Develop test strategies, test plans, acceptance criteria, and quality approaches with stakeholders.
  • Translate requirements, user stories, APIs, data dependencies, and workflows into test scenarios and validation plans.
  • Design, build, maintain, and improve automated test suites for API, UI, integration, and data validation.

Skills

API testing
UI testing
Data validation
CI/CD
AI-enabled testing
Test automation
Defect triage

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related technical field

Tools

Playwright
Cypress
Selenium
Appium
PyTest
Postman/Newman
JUnit
TestNG

Job description

Apt is seeking a Quality Engineer, AI & Test Automation in Dallas to modernize testing with automation-first, engineering-integrated, and AI-enabled approaches. You will design, build, and maintain automated test suites for API, UI, data validation, and end-to-end validation, integrating tests into CI/CD pipelines.

You will collaborate with Product, Engineering, AI Foundation, Security, Privacy, and operations teams to embed quality across the development lifecycle, defining evaluation methods

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