QA Engineer – AI

Job not on LinkedIn

🔥 12 minutes ago

🇺🇸 United States – Remote

💵 $75k - $80k / year

⏰ Full Time

🟢 Junior

🔧 QA Engineer (Quality Assurance)

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Public Partnerships | PPL

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

🤝 B2B

Healthcare Insurance • B2B

Public Partnerships | PPL is a provider of financial management and administrative services that enable self-directed Medicaid long-term care. The company helps eligible Medicaid participants hire and manage caregivers (including family or friends), handles payroll, payments, tax and compliance paperwork, and offers online tools and support to participants, caregivers, and program administrators. PPL partners with state Medicaid agencies and managed care organizations to administer self-directed care programs across multiple states, aiming to simplify program administration and keep people in their homes.

📋 Description

• An AI focused QA Engineer writes, maintains and executes automated tests using Business-Driven Development (BDD) testing methodology for API, UI, mobile, and backend/data validations. • The QA Engineer also collaborates with others to define feature specification, and review resolution to system defects. • Design, develop, and maintain automated test frameworks for web applications, APIs, and AI-driven workflows using modern testing tools and AI-assisted automation. • Utilize AI tools to generate, optimize, and maintain test cases, test scenarios, and automation scripts, improving testing efficiency and coverage. • Design, execute, and validate testing for AI agents, evaluating agent behavior, workflow execution, response accuracy, and failure scenarios. • Support Continuous Integration and Continuous Deployment (CI/CD) pipelines by integrating automated testing into the software development lifecycle. • Demonstrate a self-starter mindset with the ability to quickly learn new technologies, adapt to changing priorities, and work independently.

🎯 Requirements

• A quick learner and self-starter who can work independently and adapt to new technologies. • Experience with BDD testing methodologies using Cucumber, along with proficiency in a programming language such as Java, Python, or Node.js. • Experience using AI to generate, improve, and maintain test cases, test scenarios, and automation scripts. • Experience designing, testing, and validating AI agents, including evaluating agent behavior, workflows, responses, accuracy, and failure scenarios. • Ability to use AI tools to develop and enhance automated testing frameworks for applications, APIs, and agent-based workflows. • Strong analytical, problem-solving, communication, and documentation skills. • Strong debugging skills and solid SQL knowledge for data analysis, issue investigation, and validation. • Experience with continuous integration and continuous deployment pipelines.

🏖️ Benefits

• N/A