AI SDET; Software Development Engineer in Test

AI SDET (Software Development Engineer in Test)

Aithical Hub

hybrid contract senior $48.75 - $63/hr

Location:

Charlotte, NC

Work Mode:
Hybrid – 3 days onsite per week

Interview Process:
In-person interview & live coding test (mandatory)

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.

• 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.

• 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: test data management, reusable test frameworks, parameterized testing, schema definitions and validations.
• Ability to demonstrate real‑world test design patterns.
• 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.