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The Senior QA Engineer will work with development and Product Management to develop quality software, execute test cases, and improve testing processes.

Manage end-to-end execution of customer-impacting initiatives in healthcare, ensuring alignment among product, engineering, and customer success teams while tracking risks and dependencies.

Lead the design and development of scalable cloud-native applications in healthcare, providing technical leadership and ensuring high standards in system architecture, compliance, and mentoring teams.

The Senior AI QA Engineer will design robust testing frameworks for validating clinical pipeline outputs and ensure data integrity through advanced QA practices in AI/ML.

The Senior QA Engineer will design and maintain test automation frameworks, integrate testing into CI/CD, and optimize test reliability. The role emphasizes ownership of quality in a fast-paced environment with an AI-first approach.

The Principal Engineer will lead AI solution development, focusing on Large Language Models and multimodal AI systems, ensuring technical excellence and cross-functional collaboration in healthcare technology.

Lead AI initiatives in healthcare, focusing on model development, deployment, and cross-functional collaboration while ensuring compliance and addressing data challenges.

The Staff Data Software Engineer will develop data infrastructure for healthcare applications, optimize cloud-native platforms, and mentor junior engineers. Responsibilities include data pipeline development, ensuring compliance, and collaborating with AI/ML teams.

Lead the architecture and development of AI solutions for healthcare, focusing on LLMs and multimodal AI systems, while ensuring compliance and collaboration across teams.

The QA Engineer will design and maintain automation frameworks, validate AI/ML systems, and automate testing processes, ensuring high-quality AI applications.