AI SDET; Software Development Engineer in Test
Listed on 2026-10-17
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Software Development
Software Testing, AI QA / Validation Engineer, Python
Aithical Hub
hybrid contract senior $48.75 - $63/hr
Job DescriptionLocation:
Charlotte, NCWork Mode:
Hybrid – 3 days onsite per week Interview Process:
In-person interview & live coding test (mandatory)
Job Description We 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 (Type Script 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 Responsibilities Design, develop, and maintain automated test frameworks with a strong focus on API testing
Write and review clean, maintainable test code using Type Script or Python Create, manage, and reuse test data effectively across test suites
Define and validate schemas (JSON / API contracts) as part of automated tests
Build parameterized test cases to support scalable and reusable testing
Actively participate in Git workflows, including creating and reviewing pull requests.
Validate AI/ML-driven features using data-driven and model-aware testing approaches
Collaborate closely with developers, product owners, and Dev Ops teams
Execute tests in CI/CD pipelines and support continuous quality improvements
Required
Skills & Qualifications Core Skills Proven experience as an SDET / Automation Test Engineer Deep understanding of APIs (REST, request/response validation, schema validation)
Strong hands-on experience with Type Script or Python Solid knowledge of test automation frameworks
Experience with Git, Pull Requests, and collaborative development workflows
Test Engineering Expertise Strong understanding of:
Test data management
Reusable test frameworks
Parameterized testing
Schema definitions and validations
Ability to demonstrate real-world test design patterns AI / ML Exposure Understanding of AI/ML concepts, patterns, and paradigms
Experience testing AI-driven or data-driven systems is a strong plus Familiarity with validating model outputs, data quality, or ML pipelines preferred
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