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Software Development Engineer in Test - SDET
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-10-10
Listing for:
NATIONMIND LLC
Full Time
position Listed on 2026-10-10
Job specializations:
-
Software Development
AI QA / Validation Engineer, Software Testing
Job Description & How to Apply Below
SDET
Dallas, TX
Responsibilities- Design, develop, and maintain test automation frameworks using Python and/or Java
. - Build automated test suites for functional, regression, performance, and integration testing.
- Participate in testing of AI/ML models
, including validating outputs, datasets, model accuracy, and edge-case behaviors. - Implement AI-assisted testing tools and contribute to developing intelligent test solutions.
- Collaborate with cross-functional teams to understand product requirements and convert them into test strategies.
- Identify root causes of defects and work with engineering teams to resolve them.
- Perform code reviews, maintain test documentation, and ensure best testing practices.
- Contribute to CI/CD pipelines with automated quality gates.
- Continuously evaluate and integrate new tools, frameworks, and AI capabilities to improve test efficiency.
Skills & Qualifications
- Bachelor's degree in computer science, Engineering, or related field (or equivalent experience).
- Strong experience in test automation using Python and/or Java
. - Solid understanding of testing methodologies, QA processes, and automation principles.
- Exposure to AI/ML concepts such as model training, model inference, datasets, bias, and evaluation metrics.
- Experience working with API testing tools (e.g., Postman, REST Assured, PyTest).
- Hands-on experience with automation frameworks like Selenium, Playwright, Cypress, or Robot Framework.
- Familiarity with CI/CD platforms (Jenkins, Git Hub Actions, Git Lab CI, etc.).
- Strong analytical and debugging skills.
- Experience testing AI/ML pipelines or platforms.
- Understanding of LLMs, NLP, generative AI, or ML workflows.
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Experience with containerization tools (Docker, Kubernetes).
- Familiarity with data validation, data quality tools, or synthetic data generation.
- Experience with test-case generation using AI tools.
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