Brown University Health is seeking a highly motivated Full‑Stack AI Developer to join a government‑funded research team at the intersection of artificial intelligence, digital health, and public health interventions. The ideal candidate will work on multimodal AI models, AI‑driven chatbots, and agent‑based modeling frameworks for research on HIV prevention, STI prevention, nutrition counseling, overdose prevention, and opioid use disorder (OUD) treatment.
Responsibilities
Design, develop, and optimize multimodal AI models, AI‑based chatbots, and modify existing agent‑based modeling frameworks.
Develop and maintain both front‑end and back‑end components of AI‑driven applications, ensuring seamless user experiences.
Deploy and maintain AI solutions on cloud platforms (AWS, Azure, or Google Cloud) with scalable architectures.
Learn and integrate public health knowledge in HIV prevention, STI prevention, nutrition counseling, and OUD treatment into AI‑based solutions.
Work closely with public health experts, data scientists, and researchers to refine AI models and improve application performance.
Stay updated on cutting‑edge AI technologies, including large language models, reinforcement learning, and agentic frameworks.
Required Qualifications
Proficiency in Python, JavaScript (React/Node.js), or other full‑stack technologies for AI and web applications.
Hands‑on experience with machine‑learning frameworks (TensorFlow, PyTorch, LangChain, AutoGen).
Strong knowledge of API development, databases (SQL/NoSQL), and cloud computing.
Experience with React, Vue.js, or Angular for interactive and user‑friendly applications.
Experience deploying AI applications on AWS, Google Cloud, or Azure, and familiarity with containerization (Docker, Kubernetes).
Familiarity with modifying agent‑based models (ABMs) in domains such as epidemiology or public health.
Strong interest and ability to understand and integrate public health concepts into AI‑driven solutions.
Ability to collaborate in a multidisciplinary research team and contribute to government‑funded projects.
Preferred Qualifications
Bachelor’s or advanced degree in computer science or closely related field.
Experience working in health‑related AI applications.
Knowledge of LLMs, multimodal AI, and reinforcement learning.
Prior work with digital health interventions.
Work Experience
Three to five years in AI application development.
Compensation
$67,724.80–$111,716.80
EEO Statement
Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.
Location
LHM-Providence-200 Corliss St, Suite 2 – 200 Corliss St, Suite 2, Providence, Rhode Island 02904
Work Type
Monday‑Friday, 8 am – 5 pm
Shift
Day
Daily Hours
8 hours
Driving Required
No
Application Procedure
Interested candidates should submit a CV and a short cover letter to Jun Tao (jun_tao@brown.edu). Philip Chan (philip_chan@brown.edu) is also a contact for inquiries.
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