HealthBook+ is a health facilitation platform created by doctors and powered by AI, designed to streamline the journey to better health for both providers and patients. It offers personalized health coaching, actionable insights, and frictionless access to support and care solutions tailored to individual needs. By leveraging machine learning and data science, HealthBook+ aims to enhance health and wellness experiences while promoting health equity and accessibility, particularly for underserved communities.
February 5
HealthBook+ is a health facilitation platform created by doctors and powered by AI, designed to streamline the journey to better health for both providers and patients. It offers personalized health coaching, actionable insights, and frictionless access to support and care solutions tailored to individual needs. By leveraging machine learning and data science, HealthBook+ aims to enhance health and wellness experiences while promoting health equity and accessibility, particularly for underserved communities.
• As the Lead Engineer, directing our LLM Services team, you’ll be at the forefront of integrating AI into healthcare delivery. • You will work closely with Product and Engineering leadership to co-design, architect and integrate LLM-powered services to our core product. • You will lead the architecture and implementation of these services, alongside the LLM Services team, which you will also be responsible for assembling and managing. • Work closely with colleagues across Product and Engineering, in participating in and, subsequently overseeing the architecture and implementation of LLM-powered features and their accompanying services. • Build robust model evaluation pipelines to measure and improve LLM output safety, quality and consistency. • Work on prompt engineering, chain-of-thought/prompt chaining, tool-use/function-calling (agentic) implementations. • Ensure compliance with healthcare regulations while working with LLM outputs. • Hire members for and manage the LLM team.
• Expert knowledge in LLM architectures, fine-tuning principles and methods, agentic system design and LLM evaluation metrics • Familiarity with streaming architectures for real-time LLM responses • Strong grasp of software engineering best practices, including testing, documentation, and version control • Excellent problem-solving skills and attention to detail • Strong written and verbal communication skills
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