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Onsite C2C : AI Quality Engineer at Atlanta, GA

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-08-30
Job specializations:
  • Quality Assurance - QA/QC
    AI QA / Validation Engineer, IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Onsite C2C Role: AI Quality Engineer at Atlanta, GA

Quality Engineer with AI

Location:

Atlanta, GA (Only local)
Duration: 6-12 months

Key Responsibilities
  • Design and execute comprehensive test strategies for AI/ML-based applications and intelligent systems.
  • Validate AI model performance, accuracy, fairness, robustness, and reliability.
  • Develop automated testing frameworks for web, mobile, APIs, and AI-powered applications.
  • Create and execute test cases for model inference, prompt testing, hallucination detection, and response validation.
  • Perform functional, integration, regression, performance, and security testing.
  • Validate training datasets, model outputs, and data pipelines to ensure quality and consistency.
  • Collaborate with Data Scientists, AI Engineers, Product Managers, and Developers throughout the development lifecycle.
  • Monitor AI system behavior in production and identify quality improvement opportunities.
  • Define quality metrics, KPIs, and dashboards for AI solution performance.
  • Identify testing bottlenecks and implement process improvements.
  • Ensure compliance with responsible AI principles, privacy requirements, and organizational quality standards.
  • Support continuous integration and continuous testing within Dev Ops pipelines.
Required qualifications
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 4+ years of experience in Software Quality Engineering, QA Automation, or Testing.
  • 2+ years of experience testing AI/ML-based applications or data-driven systems.
  • Strong understanding of Software Testing Life Cycle (STLC) and SDLC.
  • Experience with test automation tools and frameworks.
  • Knowledge of machine learning concepts, model validation techniques, and data quality testing.
  • Experience in API, UI, and backend testing.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills.
Technical Skills
  • Quality Engineering
  • Test Strategy & Planning
  • Manual & Automated Testing
  • Functional & Regression Testing
  • API Testing
  • Performance & Security Testing
  • Defect Management
  • AI/ML Testing
  • Model Validation & Evaluation
  • Prompt Testing
  • Hallucination Detection
  • Bias & Fairness Testing
  • Data Validation & Data Quality Testing
  • AI Performance Monitoring
  • Automation Tools
  • Selenium
  • Playwright
  • Cypress
  • Postman
  • Rest Assured
  • JMeter
  • Programming
  • Python
  • Java
  • JavaScript/Type Script
  • Cloud & Dev Ops
  • Azure / AWS / GCP
  • Git Hub Actions
  • Azure Dev Ops
  • Jenkins
  • CI/CD Pipelines
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