AI Developer with Testing

Role: AI Developer with Testing.

Location: Alpharetta GA (Hybrid).

Duration: 06 Months.

Job Summary:

• We are looking for a dynamic and technically skilled AI Developer with a Testing Background to join our growing team. This hybrid role blends software development and quality assurance focusing on building and validating AI-driven applications. The ideal candidate will have hands-on experience in Java Selenium API testing mobile testing and a solid understanding of AI technologies. Youll play a critical role in ensuring the reliability accuracy and performance of intelligent systems across platforms.

Key Responsibilities:

AI Development & Integration

• Design develop and integrate AI models into enterprise applications.
• Collaborate with data scientists and engineers to operationalize machine learning workflows.

Test Automation & Validation

• Build and maintain automated test suites using Java and Selenium.
• Develop robust API test frameworks and conduct end-to-end testing of RESTful services.
• Perform mobile testing across Android and iOS platforms using appropriate tools and emulators.

Quality Assurance for AI Systems

• Validate AI model outputs for accuracy fairness and consistency.
• Implement test strategies for ML pipelines including data validation and model performance checks.
• Identify edge cases and failure modes in intelligent systems.

Collaboration & Documentation

• Work closely with cross-functional teams to define testable requirements and acceptance criteria.
• Document test plans results and defect reports with clarity and precision.

Required Qualifications:

• 10 years of experience in software testing and development.
• Strong proficiency in Java Selenium and API testing tools (e.g. Postman RestAssured).
• Experience in mobile testing using Appium or similar frameworks.
• Exposure to AI/ML concepts model validation and data pipelines.
• Familiarity with CI/CD tools and version control systems (e.g. Jenkins Git).
• Excellent analytical problem-solving and communication skills.

Preferred Skills

• Experience with Python and ML libraries (e.g. scikit-learn TensorFlow).
• Knowledge of AI testing frameworks and synthetic data generation.
• Understanding of ethical AI principles and bias mitigation strategies.
• Certifications in testing (ISTQB Selenium) or AI/ML.