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Senior AI Engineer, Applied AI
Clarium
United States
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Senior AI Engineer, Applied AI
Clarium
United States
2 months ago
Over 200 applicants
See who Clarium has hired for this role
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Why Clarium?The healthcare industry overspends on its supply chain by over $25B each year, the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, and Kaiser Permanente.Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.The OpportunityClarium is scaling its AI capabilities, and we're looking for an AI Engineer to join the AI team. You'll work closely with our Head of AI alongside engineering, data, and product to build the backend systems and AI applications that power Clarium's healthcare supply chain platform.This isn't a research role, you'll be shipping production systems that real healthcare providers rely on every day. If you want to own meaningful work at an early-stage, well-funded company where AI is the core product, this is the role.In This Role You WillArchitect and develop robust backend systems that integrate with LLM APIs to power Clarium's AI featuresDesign and build scalable backend services in Python and FastAPITake full ownership of critical system components from REST APIs to AI agent implementationCollaborate with product managers and customers to ensure what you build maps directly to real-world healthcare workflowsParticipate actively in code reviews and sprint planningWhat You'll Bring5+ years of backend engineering experience1+ years of hands-on experience building and deploying AI applications in...
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