AI-Powered Quality Engineer: Test Automation & GenAI

Lorven Technologies, Inc.; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Lorven Technologies, Inc. seeks a Quality Engineer – AI & Test Automation to design and implement AI-enhanced test automation across UI and API layers. You will contribute hands-on QE work, creating scalable automation, validating integrations, and accelerating release readiness in a hybrid environment.

The role emphasizes automated tooling, GenAI-assisted test-generation, and robust regression coverage, with preference for Pega testing proficiency and CI/CD integration.

Qualifications

• AI-based test automation experience using GenAI to generate test cases, data, and scripts.
• Pega testing experience including case-management, workflows, and SLAs is highly preferred.
• Hands-on QE experience with automated regression suites and integration to CI/CD pipelines.

Responsibilities

• Develop and maintain automated testing frameworks for UI, API, integration, and end-to-end testing.
• Build AI-assisted test automation using GenAI to generate test cases, data, scripts, and validations.
• Automate API testing for REST/SOAP services and validate cross-application integrations.
• Develop automated regression suites and integrate them into CI/CD pipelines.
• Provide automated quality metrics and test results to support release decisions.
• Gain experience with Pega testing and related UI components.

Skills

AI & GenAI

Test Automation

Pega Testing

CI/CD

REST/SOAP APIs

UI/API Testing

Test Data Management

Defect Analysis

Tools

GitHub Copilot

CI/CD Tools

Automation Frameworks

GenAI Tools

Job description

Lorven Technologies, Inc. seeks a Quality Engineer – AI & Test Automation to design and implement AI-enhanced test automation across UI and API layers. You will contribute hands-on QE work, creating scalable automation, validating integrations, and accelerating release readiness in a hybrid environment.

The role emphasizes automated tooling, GenAI-assisted test-generation, and robust regression coverage, with preference for Pega testing proficiency and CI/CD integration.