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Design and implement automation for infrastructure, manage deployment pipelines, ensure security, and mentor junior engineers for a healthcare AI platform.

The Customer Success Executive will manage client relationships, lead product implementations, train healthcare staff, and foster AI adoption in nursing operations.

Design and refine user-centric conversational flows for healthcare AI applications, collaborating with clinicians and engineers to promote safety and empathy in interactions.

The Lead BI Analyst will analyze customer operational data, own BI tools, create reports and dashboards, and collaborate with GTM teams to provide actionable insights.

As a Fullstack Engineer, you will develop AI-powered healthcare products, collaborating across teams to create secure and scalable solutions.

The Senior Business Data Analyst will drive data-informed decisions through operational reporting, performance analysis, and collaboration with cross-functional teams to optimize healthcare-focused LLM solutions.

The Customer Success Executive will leverage nursing expertise to build client relationships, lead product implementations, and ensure effective use of AI solutions in healthcare settings.

The LLM Inference Engineer will optimize large language model infrastructure and implement serving architectures, quantization techniques, and latency optimizations. Responsibilities include designing disaggregated serving solutions, benchmarking system performance, and guaranteeing efficient, scalable LLM systems in production.

Lead the development of machine learning pipelines and systems for Large Language Models in healthcare, ensuring compliance and optimizing performance.

The Senior Site Reliability Engineer will design and implement infrastructure automation, CI/CD pipelines, and monitoring for a healthcare AI platform while ensuring reliability and security.