Summer Internship - AI Researcher at Aledade, Inc. in Remote

Summary: Aledade is recruiting for 2026 Summer Interns to participate in hands-on projects within the healthcare system. The AI Researcher intern will focus on researching and prototyping an AI reasoning agent to enhance clinical workflows through intelligent care handoffs. Responsibilities: - Build a reasoning engine that ingests ambient visit audio/transcripts and generates three distinct outputs from a single conversation. These outputs include a Specialist Referral Justification, Care Management Tasks, and a Patient Action Plan - Stage these generated artifacts in the existing Aledade Overlay 'Magic Draft' UI as simple 'Click-to-Copy' or 'Click-to-Route' modules, avoiding dependencies on active EHR DOM manipulation - Implement LLM evaluation pipelines (e.g., LLM-as-a-judge) to assess the accuracy of the Patient Action Plan and ensure the Referral Justification captures the correct clinical context - Ship the alpha prototype to a controlled pilot cohort or simulated environment. Measure potential reductions in post-visit documentation time, artifact accuracy, and the shift in physician task management load Required Qualifications: - Currently pursuing a Master's or PhD in Computer Science, Human-Computer Interaction (HCI), Artificial Intelligence, Health Informatics, or a closely related discipline - Proficiency in Python (for AI/backend logic) and modern frontend frameworks (e.g., React, TypeScript, or JavaScript) for UI prototyping - Hands-on experience working with Large Language Models (e.g., OpenAI API, Anthropic Claude, LangChain) and a strong grasp of advanced prompt engineering techniques - Ability to build and connect APIs, managing the flow of data from raw audio/text input to structured, actionable outputs Preferred Qualifications: - Experience designing multi-agent systems, multi-modal reasoning pipelines, and automated LLM evaluation frameworks (e.g., LLM-as-a-judge) to ensure output safety and accuracy - Familiarity with Value-Based Care (VBC) models, clinical documentation practices, and post-visit administrative workflows (e.g., care management tasking, specialist referrals) - Demonstrated experience utilizing AI coding assistants (e.g., Claude Code, GitHub Copilot) to accelerate standard UI and full-stack implementation - Ability to design intuitive, decoupled human-in-the-loop (HITL) interfaces that fit seamlessly into existing user workflows without causing alert fatigue - Strong problem-solving skills with the ability to measure project ROI (e.g., time saved, accuracy metrics) and effectively communicate complex AI concepts to non-technical clinical stakeholders Required Skills: Python, React, TypeScript, JavaScript, Large Language Models, Prompt engineering, API design, Multi-agent systems, Multi-modal reasoning, Automated LLM evaluation, Healthcare domain expertise, Human-Computer Interaction