AI Engineer

• Design and build end-to-end AI systems — from data ingestion and preprocessing to model training, deployment, and monitoring
• Develop and refine predictive, scoring, and recommendation models that quantify session quality, track patient progress, and personalize care plans
• Fine-tune and evaluate large language models (LLMs) to enhance provider and patient experiences through reliable, clinically safe interactions
• Prototype and iterate rapidly on AI-powered product features, integrating stakeholder feedback to ensure measurable impact
• Collaborate with engineering and product teams to scale ML infrastructure and ensure reliability, transparency, and observability

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