Senior Clinical Context Engineer
Seven Stars · Los Angeles Metropolitan Area · 4 days ago
Information Technology$200k–$350k/yrFull-time
About the role
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.
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
Pay
Compensation Range: $200K - $350K