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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.

The Customer Success Executive will improve client healthcare outcomes through AI solutions, build relationships, manage projects, and train staff on implementations.

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.

The Customer Success Executive will manage relationships with health plan clients, enhance user adoption of AI solutions, and drive measurable outcomes in payer operations.

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.

The Staff Applied Scientist will develop and enhance LLMs for healthcare, focusing on safety and efficiency, collaborating with top scientists.

The Senior Sales Executive will focus on acquiring new business with large health systems, managing sales cycles, and building relationships with executives to achieve revenue targets.

The Social Media Manager will lead social media efforts, create engaging content, develop strategies, and manage community interactions targeted at enhancing healthcare communication.

The Senior Applied Scientist will work on developing LLMs for healthcare, focusing on generative AI, multilinguality, and continual learning.