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PP
Public Partnerships LLC
QA Engineer- AI
Career Insights for Software QA Engineer / Tester
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Based on New York data
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What they do
A Software QA Engineer or Tester designs and runs in-depth diagnostic tests to evaluate software and check for problems before new products are marketed. Pilots software and applies tests to check for errors and glitches.
$112,694 / year median in New York
-18% projected decline
Job Description
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Public Partnerships LLC supports individuals with disabilities or chronic illnesses and aging adults, to remain in their homes and communities and "self" direct their own long-term home care. Our role as the nation's largest and most experienced Financial Management Service provider is to assist those eligible Medicaid recipients to choose and pay for their own support workers and services within their state-approved personalized budget. We are appointed by states and managed healthcare organizations to better serve more of their residents and members requiring long-term care and ensure the efficient use of taxpayer funded services. Our culture attracts and rewards people who are results-oriented and strive to exceed customer expectations. We desire motivated candidates who are excited to join our fast-paced, entrepreneurial environment, and who want to make a difference in helping transform the lives of the consumers we serve. (learn more at www.pplfirst.com). An AI focused QA Engineer develops and executes tests that produces AI assisted automation covering functional, security, boundary, and other necessary test cases. Job Summary Experienced AI-driven QA Engineer responsible for designing, implementing, and maintaining intelligent automated testing solutions across web, mobile, and API platforms. This role blends hands‑on AI tool usage, test framework development, cross‑team collaboration, and continuous integration practices to ensure high‑quality, scalable, and maintainable automation. The engineer also contributes to R&D initiatives, mentors junior team members, and drives best‑practice coding standards while validating AI model performance and reliability. AI Test Automation Designs and builds AI‑powered automated tests and frameworks to support complex software systems. Validates AI model outputs against expected behavior and performance metrics. Cross‑Team Collaboration Partners closely with software engineers to improve automation feasibility and coverage. Coordinates across teams to deliver high‑quality software within defined scope and timelines. Engineering Excellence Promotes coding standards, conducts peer reviews, and reduces automation maintenance through strong engineering practices. Leads R&D efforts, evaluates AI automation tools, and mentors junior team members.