Software Quality Assurance Tester

Company Description
AllysAI | AI-Native Enterprise is transforming how organizations adopt and scale AI by offering an AI Lab-as-a-Service rather than standard off-the-shelf tools. Through this collaborative platform, enterprises co-build tailored AI solutions and programs, drawing on a rich library of proven use cases across Sales, Marketing, HR, and Market Access. The company partners with leading organizations to implement practical, adaptable AI ecosystems that deliver immediate ROI and grow with evolving business needs. AllysAI focuses on making enterprises faster, smarter, and future-ready, creating an environment where innovation and impact are closely aligned.
Role Description
This is a full-time remote role for a Software Quality Assurance Tester. The person in this role will design, execute, and document test plans and test cases for AI-driven and enterprise software solutions, ensuring they meet defined quality and performance standards. Daily responsibilities include performing functional, regression, and integration testing, identifying and tracking defects, and collaborating with product, engineering, and data science teams to clarify requirements and resolve issues. The Software Quality Assurance Tester will analyze test results, recommend improvements to testing processes, and contribute to continuous quality enhancements in AllysAI’s platform and client solutions. This role also involves creating and maintaining testing documentation and participating in reviews to help uphold high-quality delivery across projects.
Qualifications
Strong foundation in test execution, including designing, running, and documenting manual and automated test cases.
Experience ensuring software quality, with practical knowledge of quality assurance methodologies and best practices.
Proficiency in software quality assurance, including defect management, root cause analysis, and regression testing.
Well-developed analytical skills for interpreting requirements, evaluating system behavior, and diagnosing issues.
Familiarity with testing tools and frameworks (e.g., Jira or similar issue trackers, test management tools, and automation frameworks is a plus).
Understanding of software development lifecycles (Agile/Scrum) and collaborative work with engineering and product teams.
Strong written and verbal communication skills, with the ability to document findings clearly and communicate with technical and non-technical stakeholders.
Ability to work independently in a remote setting, manage priorities, and meet deadlines across multiple projects.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
Experience testing AI, ML, or data-intensive products in an enterprise environment is beneficial but not required.

Work arrangement
Yes