Software Developer/Engineer

PROJECT HIRED
United States
27 days ago
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Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Compensation
$208,000.0 - $312,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Databases Learning Management Systems Software Debugging Software Engineering Large Language Models Prompt Engineering Backend Codebase Front End Software Development
+1 more
Code Restructuring

Job description

AI/Software Developer - Nursing Simulation Platform (Part-Time Contract, UT Austin)

Remote-friendly Part-time contract, 8-12 hrs/week

About Project HAPINES

Project HAPINES (History and Physicals in Nursing Education Systems) is an AI-powered clinical simulation platform that teaches nurse practitioner students how to take a patient history, reason through differential diagnoses, and write competency-mapped assessments and plans - aligned to the AACN/NONPF Essentials. Built at UT Austin in partnership with CHITA (Center for Health Innovations and Technology Advancements), HAPINES is an online nursing simulation platform.

This position is funded through a Texas Higher Education Coordinating Board (THECB) Nursing Innovation Grant Program award. Contract renewal beyond each 3-month term is contingent on continued work.

The Role

We’re looking for a coding expert to work directly with our small research team to optimize and extend the HAPINES platform - someone who’s comfortable with both traditional software engineering and applied AI/LLM work, and who wants to build something real that’s already in use with students.

What You’ll Do

  • Optimize performance, reliability, and cost-efficiency of the existing AI patient-simulation and grading engine
  • Work with LLM APIs (e.g., Claude, OpenAI) to improve conversational realism, scoring consistency, and prompt reliability
  • Improve and extend the faculty dashboard and competency-mapping/analytics features
  • Debug, refactor, and document existing code as the platform scales to more students and institutions
  • Collaborate closely with the PI, CHITA’s technical team, and other student developers on architecture and feature decisions
  • Help evaluate hosting/infrastructure choices (AWS) for cost and performance

Requirements

  • Strong software engineering fundamentals - comfortable across backend, frontend, and databases
  • Real experience working with LLM/AI APIs and prompt design, not just theoretical familiarity
  • Ability to read and improve an existing codebase, not just build from scratch
  • Self-directed - this is a small team; you’ll need to work well with limited day-to-day oversight
  • Comfortable working within an academic/research environment and timeline

Nice to Have

  • Experience with healthcare, EdTech, or simulation/training platforms
  • Familiarity with FERPA or other student-data privacy considerations
  • Experience with LMS integrations (Canvas, LTI) or SSO
  • Interest in health professions education or nursing/clinical workflows

Benefits & conditions

$100 - $150 an hour - Contract, Contract Details

  • Hours: 8-12 hours/week
  • Structure: Initial 3-month contract, with the option to renew in 3-month increments for up to 24 months total, contingent on performance
  • Start date: September 15, 2026
  • Compensation: $100-150/hour 8-12 hours/week
  • Location: Remote-friendly; occasional availability for team check-ins with UT Austin-based collaborators via Zoom
  • Reports to: Dr. Amanda Alvarado (PI)
  • Funding source: Texas Higher Education Coordinating Board (THECB) Nursing Innovation Grant Program
  • Work product/IP: This is a work-for-hire arrangement - code and materials developed under this contract are owned by UT Austin and THECB, consistent with standard university and state-grant IP terms.

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Good distractions

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