Fullstack AI Quality Engineer - Applied Agentic AI Systems

This role focuses on ensuring the quality and reliability of cutting-edge AI systems, specifically within the realm of applied agentic AI. The successful candidate will be responsible for designing, developing, and executing comprehensive testing strategies to validate the performance, accuracy, and robustness of these systems, contributing to the delivery of high-quality AI-powered solutions.

Key Responsibilities:

Develop and execute test plans, test cases, and test scripts for AI and machine learning models.
Perform functional, regression, performance, and security testing.
Identify, document, and track defects using appropriate bug tracking systems.
Collaborate with engineers and data scientists to troubleshoot and resolve issues.
Automate testing processes to improve efficiency and coverage.
Contribute to the development of quality assurance best practices and standards.
Evaluate and recommend testing tools and frameworks.

Requirements/Qualifications:

Experience in software quality assurance and testing.
Strong understanding of software development lifecycle and testing methodologies.
Experience with AI/ML testing techniques and tools.
Proficiency in programming languages such as Python.
Experience with testing frameworks and automation tools.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.

About the Company:

Hoffmann La Roche is a global leader in pharmaceuticals and diagnostics, dedicated to researching, developing, and delivering innovative medicines and diagnostic solutions to improve patient outcomes. The company focuses on areas of unmet medical need and strives to advance science to transform lives.