AI-Driven QA Engineer - Software Test & Automation

Trane Technologies

Saint Paul (MN)

Hybrid

USD 79,000 - 110,000

Full time

2 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Tuition assistance

Job summary

Trane Technologies in Saint Paul, MN is seeking a Software Test Engineer to ensure web and mobile applications meet requirements and quality standards. You will design and execute manual test cases, validate defects, and support release readiness across AI-enabled features.

Collaboration with product, design, and development teams is essential to ensure testability and high quality. The role emphasizes AI testing, end-to-end workflows, and continuous QA process improvements.

Qualifications

Bachelor’s Degree required. Engineering or Computer Science preferred.
5+ years software testing experience, with minimum of 2 year of automated hands-on testing experience required.
Strong understanding of software testing principles.
Experience testing in Cloud / AWS environments. Understanding HTML, CSS and JSON is necessary.
Experience working in SQL environments. Experience creating and executing API, GUI Automation Testing for web applications.
Experience in working with acceptance test-driven development (ATDD), automated unit testing (AUT), and behavior-driven development (BDD)

Responsibilities

Perform manual testing for web and mobile applications, including functional, regression, integration, system, and exploratory testing.
Design test cases, execute test plans, document defects, and validate fixes across multiple test cycles.
Collaborate with product, design, and development teams to ensure requirements are testable and quality standards are met.
Validate APIs, backend workflows, and end-to-end business processes across integrated systems. Prepare test reports, quality metrics, and release-readiness summaries for project stakeholders.
Support continuous improvement of QA processes, tools, and testing standards. Support testing of AI-enabled features and intelligent workflows within web and mobile applications.
Design and execute test cases to validate AI-generated outputs for accuracy, relevance, consistency, and reliability. Perform prompt-response testing for generative AI features, including standard, edge-case, and negative scenarios.
Identify and document AI-related issues such as inconsistent outputs, hallucinations, bias, unsafe responses, and unexpected behavior. Validate AI service integrations, APIs, input/output data quality, and system performance.
Collaborate with product, engineering, and QA teams to define AI testing approaches, acceptance criteria, and quality standards. Help ensure AI-enabled solutions align with responsible AI principles, including fairness, privacy, transparency, and risk mitigation.
Contribute to improving AI testing processes, tools, datasets, and quality evaluation method. Analyze functional and non-functional requirements for completeness, testability, and business alignment.
Participate in Agile ceremonies to review scope, acceptance criteria, defects, and quality deliverables. Design, develop, and maintain manual test cases, test scenarios, and test procedures.
Execute functional, regression, integration, system, and end-to-end testing across applications. Validate workflows, UI behavior, business rules, system interactions, and data flow against requirements.
Identify, log, track, and retest defects; support root cause analysis and defect resolution with development teams. Maintain test documentation including test plans, traceability matrices, defect reports, and test summaries.
Assess test coverage, identify risks, dependencies, and bottlenecks, and communicate them to stakeholders. Support release validation, final verification testing, and quality sign-off recommendations.
Contribute to continuous improvement of QA processes, tools, standards, and testing effectiveness. Act as a quality SME for assigned modules and provide input on test strategy, risk, and product quality. Prepare and present test execution results, defect metrics, and release status reports to leadership.