Senior Clinical Context Engineer

🕒 Fevereiro 26

🏄 California – Remoto

🏄 California – Remote

💵 $200.000 - $350.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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Doctronic

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

👥 B2C

☁️ SaaS

🔥 Investimento no último ano

💰 $20.000.000 Series A em 2025-10

Artificial Intelligence • B2C • SaaS

Doctronic é uma plataforma de telemedicina potencializada por IA que oferece consultas gratuitas com médicos virtuais e conecta usuários a médicos licenciados nos EUA para visitas via vídeo, prescrições e tratamentos em temas de cuidados primários e especialidades. Oferece avaliação de sintomas sob demanda, 24 horas por dia, 7 dias por semana, renovação de prescrições e consultas de acompanhamento, armazena registros de saúde seguros conforme HIPAA e enfatiza que sua IA faz sugestões enquanto médicos licenciados tomam as decisões clínicas finais.

Descrição

• Write and refine medical guidelines and prompts that enable our LLMs to provide accurate clinical responses • Translate medical knowledge into structured formats for our agentic workflows and knowledge graph • Ensure AI outputs align with current medical standards across urgent care, primary care, chronic disease management, and medication management • Organize medical databases supporting our AI agents and consensus models • Develop evaluation frameworks to assess LLM performance in clinical contexts • Create metrics specific to diagnosis accuracy, treatment appropriateness, and prescription safety • Day-to-day interaction with engineering team to develop and refine architecture • Gather feedback from our physician network to identify improvement opportunities • Partner with engineering on integration between AI doctor and EHR system

🎯 Requisitos

• MD, DO, or equivalent; completed residency in any specialty • Strong clinical decision-making skills with experience in urgent care, primary care, or internal medicine preferred • Data science background and a deep understanding of managing large databases • Demonstrated deep knowledge of AI and large language models • Experience with or strong interest in prompt engineering • Comfort with iterative testing and rapid prototyping • Familiarity with EHR systems and clinical workflows • Proven ability to manage multidisciplinary teams • Exceptional writing and editorial skills for medical content • Experience developing clinical protocols or guidelines • Previous experience at healthcare technology companies or digital health startups • Understanding of HIPAA compliance and healthcare data privacy

🏖️ Benefícios

• Direct impact on healthcare accessibility for millions of patients • Opportunity to shape AI medical standards at a pioneering company • Work with world-class AI technology unique in the industry • Competitive equity package