Job Description

Position Overview

• Aledade is recruiting for 2026 Summer Interns! Interns receive guidance from senior leaders and take part in substantive, hands-on projects that foster an understanding of overall operations at Aledade and the function of our complex healthcare system in general.
• The objective of this internship is to research, design, and prototype the Universal EHR Context Protocol, using HCC risk adjustment abstraction as the primary evaluation case.
• The protocol will first attempt to fulfill requests via standard API routes. Upon encountering an API gap, the system will trigger a secure, read-only browser-use agent to navigate the EHR UI, open the relevant unstructured document, extract the clinical evidence using Vision-Language Models (VLMs), and normalize it into a standard JSON schema for review within the Aledade Overlay.

Requirements

• Education: Currently pursuing a Master's or PhD in Computer Science, Applied AI, Software Engineering, Health Systems Engineering, or a closely related discipline.
• Programming: Strong backend software engineering skills, primarily in Python, with a solid foundation in data structures, system architecture, and JSON schema design.
• Web Automation: Experience with web scraping, DOM manipulation, and browser automation frameworks (e.g., Playwright, Puppeteer, Selenium).
• AI/Machine Learning: Practical experience integrating LLMs and Vision-Language Models (VLMs) for unstructured data extraction and reasoning.
• Agentic Frameworks: Proven experience or deep academic interest in building autonomous, browser-use agents, semantic routing, and fallback logic (e.g., LangChain, AutoGPT, or custom reasoning loops).
• Healthcare Interoperability: Understanding of standard healthcare data exchange protocols (like HL7 FHIR, SMART on FHIR), EHR API ecosystems, and clinical coding models like Hierarchical Condition Categories (HCC).
• System Optimization: Ability to evaluate and optimize the operational tradeoffs of AI systems, specifically balancing latency, caching strategies, and extraction accuracy in real-time environments.
• AI-Assisted Engineering: Proficiency in using AI coding tools (e.g., Claude Code, Cursor) to quickly prototype and bypass boilerplate engineering tasks, keeping the focus on core routing architecture.
• Research & Autonomy: High tolerance for ambiguity and the ability to independently research, test, and architect fault-tolerant systems in highly fragmented and unpredictable software ecosystems. Strong technical writing skills for potential academic publication.

Benefits

None specified