# Senior Clinical Context Engineer at Doctronic > Remote · United States · Senior · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Adoctronic%3Af02949ac-e25e-419e-9cdf-7177f2664ca1 (read 2026-11-11). ## Facts (observed) - Company: [Doctronic](https://alderhq.app/companies/doctronic) - Location text: USA - Where it can be done from (inferred): Remote · United States (evidence: "Location: USA") - Posted: 2026-01-14 (301 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/doctronic/f02949ac-e25e-419e-9cdf-7177f2664ca1 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: $200k–$350k per year (from the listing's pay field) - Market band for similar posted roles (United States, n 4734): p25 $154k, median $180k, p75 $207k ## Description (the employer's text) ### Senior Clinical Context Engineer Doctronic Physicians Group (DPG) & Doctronic Inc. ### Position Overview We seek a physician-leader to bridge clinical medicine and artificial intelligence. This role combines hands-on context engineering with strategic leadership, requiring both deep medical knowledge and comfort with AI/LLM technologies. ### Key Responsibilities ### Medical AI Development (50%) 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 ### Systems & Evaluation (30%) 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 ### Cross-functional Collaboration (20%) 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 ### Required Qualifications ### Medical Background 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 ### Technical Expertise 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 ### Leadership Skills Proven ability to manage multidisciplinary teams Exceptional writing and editorial skills for medical content Experience developing clinical protocols or guidelines ### Preferred Qualifications Previous experience at healthcare technology companies or digital health startups Understanding of HIPAA compliance and healthcare data privacy ### What We Offer 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 Salary commensurate with experience Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents ### About Doctronic Doctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (doctronic.ai) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adoctronic%3Af02949ac-e25e-419e-9cdf-7177f2664ca1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.