Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Aithical Hub Inc. is seeking an AI SDET in Charlotte, NC for a hybrid contract role. The ideal candidate will design, develop, and maintain API-focused automated testing and validate AI/ML-driven features in a Git-driven environment.
Strong TS or Python coding skills and experience with test data management are required. The role involves collaborating with developers, product owners, and DevOps, executing tests in CI/CD pipelines, and contributing to continuous quality improvements in a
Aithical Hub
hybrid contract senior $48.75 - $63/hr
Location: Charlotte, NCWork Mode: Hybrid – 3 days onsite per weekInterview Process: In-person interview & live coding test (mandatory)Job DescriptionWe are seeking a highly skilled AI SDET to join our quality engineering team in Charlotte, NC. The ideal candidate will have strong experience in API-focused test automation, modern programming languages (TypeScript or Python), and exposure to AI/ML testing patterns. This role requires hands-on coding, strong test design fundamentals, and the ability to work in a collaborative, Git-driven development environment.Key ResponsibilitiesDesign, develop, and maintain automated test frameworks with a strong focus on API testingWrite and review clean, maintainable test code using TypeScript or PythonCreate, manage, and reuse test data effectively across test suitesDefine and validate schemas (JSON / API contracts) as part of automated testsBuild parameterized test cases to support scalable and reusable testingActively participate in Git workflows, including creating and reviewing pull requests.Validate AI/ML-driven features using data-driven and model-aware testing approachesCollaborate closely with developers, product owners, and DevOps teamsExecute tests in CI/CD pipelines and support continuous quality improvementsRequired Skills & QualificationsCore SkillsProven experience as an SDET / Automation Test EngineerDeep understanding of APIs (REST, request/response validation, schema validation)Strong hands-on experience with TypeScript or PythonSolid knowledge of test automation frameworksExperience with Git, Pull Requests, and collaborative development workflowsTest Engineering ExpertiseStrong understanding of:Test data managementReusable test frameworksParameterized testingSchema definitions and validationsAbility to demonstrate real-world test design patternsAI / ML ExposureUnderstanding of AI/ML concepts, patterns, and paradigmsExperience testing AI-driven or data-driven systems is a strong plusFamiliarity with validating model outputs, data quality, or ML pipelines preferred