AI Quality Assurance Engineer Intern at Keysoft in Remote

Summary: Keysoft is seeking an AI Quality Assurance Engineer Intern for a full-time, on-site position in Atlanta, GA. The intern will design, develop, and execute test plans for AI-powered applications, collaborating with engineering and product teams to ensure high-quality releases. Responsibilities: - Assist with testing the applications across key user flows, including signup, onboarding, profile creation, story capture, account setup, and other product experiences - Execute manual test cases and document results clearly - Identify bugs, usability issues, confusing flows, edge cases, and product inconsistencies - Write clear defect reports with steps to reproduce, expected results, actual results, screenshots, and supporting notes - Support regression testing when new features or updates are released - Help maintain test cases, testing checklists, and QA documentation - Support testing for AI-powered features, workflows, prompts, and user interactions - Evaluate AI-generated outputs for accuracy, tone, consistency, relevance, and alignment with application user experience - Help document AI behavior, edge cases, limitations, and areas where the experience needs improvement - Test different user scenarios to understand how the system responds across a range of inputs - Support responsible AI testing by helping identify unclear responses, unexpected behavior, privacy concerns, or potential trust and safety issues - Assist in creating or maintaining simple automated test scripts for web application workflows, depending on skill level - Explore tools such as Playwright, Cypress, Selenium, Postman, Python, JavaScript, or similar testing technologies - Help test API workflows or integrations under guidance - Support lightweight automation efforts that make repeat testing faster and more consistent - Assist with organizing test results and tracking quality issues using tools such as GitHub, Jira, Trello, Linear, or similar platforms - Document testing processes, known issues, and product feedback in a clear and organized way - Share weekly QA updates, including what was tested, what passed, what failed, and what needs attention - Look for patterns in bugs, user friction, or repeated product issues - Contribute ideas for improving the product experience, testing process, and AI-powered workflows Required Qualifications: - Strong Software Testing skills, including experience validating complex applications, services, or AI-driven features - Hands-on Test Execution experience, with the ability to systematically run tests, capture results, and identify edge cases - Practical Quality Assurance exposure, including defect tracking, root-cause discussion, and collaboration with engineering teams - Experience creating and maintaining Test Cases that are clear, repeatable, and aligned with functional and non-functional requirements - Manual Testing proficiency, including exploratory testing and scenario-based validation of user-facing workflows - Experience with test management and issue tracking tools (e.g., Jira, TestRail, or similar) and basic understanding of CI/CD practices - Strong analytical, documentation, and communication skills, with the ability to work effectively in cross-functional teams - Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience Preferred Qualifications: - Familiarity with AI or ML systems (LLMs, agentic workflows, or model-driven applications) is highly preferred Required Skills: Software Testing, Test Execution, Quality Assurance, Test Case Creation, Manual Testing, AI Systems, Machine Learning Systems, Jira, TestRail, CI/CD Practices