Summer Internship - AI Researcher at Aledade

Ideal for a Master's or PhD student in Computer Science, HCI, or AI, this AI Researcher internship involves building and prototyping an AI reasoning agent. The

Work type: remote

Location: Remote, United States

Type: Internship

Summary

Ideal for a Master's or PhD student in Computer Science, HCI, or AI, this AI Researcher internship involves building and prototyping an AI reasoning agent. The role requires a strong foundation in Python, modern frontend frameworks, and hands-on experience with Large Language Models. **What makes it worth a look...** Aledade is offering a fully remote, 10-week summer internship for 2026, focused on creating an AI system to process visit audio and generate clinical insights for healthcare. **You might be a good fit if you...** * Have proficiency in Python and modern frontend frameworks like React. * Possess hands-on experience with Large Language Models (e.g., OpenAI API, Anthropic Claude) and advanced prompt engineering. * Can design and connect APIs for data flow from audio/text to actionable outputs. * Are familiar with multi-agent systems and automated LLM evaluation frameworks.

Job Description

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.​ This internship will begin on June 1st, 2026, and last for 10 weeks until August 7th, 2026.

The objective of this AI Researcher internship is to research, build, and prototype an AI reasoning agent that processes ambient visit audio and translates it into an "Intelligent Care Handoff." The intern will design a system to surface specific clinical artifacts directly within the Aledade EHR Overlay for human-in-the-loop (HITL) approval. The internship has a duration of 3 to 6 months, starting in the Summer of 2026.

## Primary Duties
1.
Multi-Audience NLP Synthesis (30%): 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.

2.
Decoupled UI Integration (25%): 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.

3.
Automated Clinical Evaluation (25%): 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.

4.
Deploy & Measure Potential ROI (20%): 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.

## Minimum Qualifications

• Education: Currently pursuing a Master’s or PhD in Computer Science, Human-Computer Interaction (HCI), Artificial Intelligence, Health Informatics, or a closely related discipline.

• Programming: Proficiency in Python (for AI/backend logic) and modern frontend frameworks (e.g., React, TypeScript, or JavaScript) for UI prototyping.

• AI/LLM Experience: Hands-on experience working with Large Language Models (e.g., OpenAI API, Anthropic Claude, LangChain) and a strong grasp of advanced prompt engineering techniques.

• Systems Design: Ability to build and connect APIs, managing the flow of data from raw audio/text input to structured, actionable outputs.

• Advanced AI Architectures: 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.

• Healthcare Domain Expertise: Familiarity with Value-Based Care (VBC) models, clinical documentation practices, and post-visit administrative workflows (e.g., care management tasking, specialist referrals).

• AI-Assisted Engineering: Demonstrated experience utilizing AI coding assistants (e.g., Claude Code, GitHub Copilot) to accelerate standard UI and full-stack implementation.

• HCI & Product Sense: Ability to design intuitive, decoupled human-in-the-loop (HITL) interfaces that fit seamlessly into existing user workflows without causing alert fatigue.

• Analytical & Soft Skills: 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.

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.​ This internship will begin on June 1st, 2026, and last for 10 weeks until August 7th, 2026.

The objective of this AI Researcher internship is to research, build, and prototype an AI reasoning agent that processes ambient visit audio and translates it into an "Intelligent Care Handoff." The intern will design a system to surface specific clinical artifacts directly within the Aledade EHR Overlay for human-in-the-loop (HITL) approval. The internship has a duration of 3 to 6 months, starting in the Summer of 2026.

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