Curative AI, Inc.

HQ
Bellevue, Washington, USA
34 Total Employees
Year Founded: 2020

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Jobs at Curative AI, Inc.
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3 Days AgoSaved
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Lead product management for an AI-driven healthcare SaaS platform, set vision, drive product execution, and collaborate across teams to ensure successful product delivery.
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The Senior AI Engineer will develop and implement AI solutions, focusing on machine learning models to enhance healthcare management, collaborating with cross-functional teams to improve patient outcomes.
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The Senior Data Engineer will design and maintain data infrastructure, develop pipelines, and ensure data quality and security while collaborating with teams to meet data needs.
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The Senior DevOps Engineer will design and manage cloud infrastructure, CI/CD pipelines, and optimize automation processes for AI healthcare applications.
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Lead a team of data scientists to develop AI solutions for healthcare. Design, implement, and deploy machine learning models while collaborating across teams to meet business needs.
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As a Principal Data Engineer, you will design and maintain data infrastructure, develop pipelines, integrate healthcare data, and innovate AI-driven solutions.
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As a Principal AI Engineer, lead AI strategies, design and deploy machine learning models, and mentor junior team members to enhance healthcare management solutions.
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As a Principal Infrastructure Engineer, lead the design and optimization of cloud-native infrastructure at Curative AI, ensuring reliability, scalability, and performance while implementing best practices and compliance standards in healthcare delivery.
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As a Senior Software Engineer, you'll design and maintain scalable microservices, implement automation solutions, collaborate with teams, and ensure backend reliability while mentoring junior engineers.
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The VP of AI will lead AI strategy and execution, oversee AI model development, manage teams, and ensure alignment of AI technology with business goals.
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The Principal Product Manager will lead product lifecycle for AI-powered healthcare solutions, conduct market research, develop product roadmaps, and manage cross-functional collaboration.
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Responsible for designing, maintaining, and optimizing cloud infrastructure for AI healthcare solutions, implementing security best practices, and collaborating with teams to ensure system reliability and performance.
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The VP of Engineering will lead and mentor engineering teams in AI software development, ensuring scalable architectures, driving AI/ML solutions, and managing resources effectively.