Senior Clinical Context Engineer

🕒 February 26

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Doctronic

51 - 200 employees

🤖 Artificial Intelligence

👥 B2C

☁️ SaaS

🔥 Funding within the last year

💰 $20M Series A on 2025-10

Artificial Intelligence • B2C • SaaS

Doctronic is an AI-powered telehealth platform that provides free AI doctor consultations and connects users with licensed U. S. physicians for video visits, prescriptions, and treatment across primary care and specialty topics. It offers on-demand, 24/7 symptom assessment, prescription refills, and follow-up appointments, stores HIPAA-secure health records, and emphasizes that its AI delivers suggestions while licensed doctors make final clinical decisions.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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