Ai Researcher (Ai Engineering)

TL;DR

AI Researcher (AI Engineering): Researching, building, and prototyping an AI reasoning agent that processes ambient visit audio and translates it into an "Intelligent Care Handoff" with an accent on designing a system to surface specific clinical artifacts directly within the hirify.global EHR Overlay for human-in-the-loop (HITL) approval. Focus on implementing LLM evaluation pipelines and measuring potential reductions in post-visit documentation time.

Location: Remote, United States

Company

hirify.global empowers the most transformational part of our health care landscape - independent primary care.

What you will do

• Build a reasoning engine that ingests ambient visit audio/transcripts and generates outputs including a Specialist Referral Justification, Care Management Tasks, and a Patient Action Plan.
• Stage generated artifacts in the existing hirify.global Overlay UI as simple modules, avoiding dependencies on active EHR DOM manipulation.
• Implement LLM evaluation pipelines 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 and measure potential ROI.

Requirements

• Education: 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 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.

Nice to have

• Experience designing multi-agent systems, multi-modal reasoning pipelines, and automated LLM evaluation frameworks to ensure output safety and accuracy.
• Familiarity with Value-Based Care (VBC) models, clinical documentation practices, and post-visit administrative workflows.
• Demonstrated experience utilizing AI coding assistants 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 and effectively communicate complex AI concepts to non-technical clinical stakeholders.

Culture & Benefits

• Be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn.
• Collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work.
• Join a team united by a shared passion for public health and a commitment to the hirify.global mission.