Overview University Health is seeking a Full-Stack AI Developer to join a government-funded research team at the intersection of artificial intelligence, digital health, and public health interventions. The role focuses on developing and optimizing multimodal AI models, AI-based chatbots, and agent-based modeling frameworks to support research on HIV prevention, STI prevention, nutrition counseling, overdose prevention, and opioid use disorder (OUD) treatment. Brown University Health emphasizes Compassion, Accountability, Respect, and Excellence in daily actions with patients, customers, and colleagues, along with core Success Factors such as trust, collaboration, and patient/community focus. Responsibilities AI/ML & Software Development: Design, develop, and optimize multimodal AI models, AI-based chatbots, and update agent-based modeling frameworks. Full-Stack Engineering: Develop and maintain front-end and back-end components of AI-driven applications to ensure seamless user experiences. Cloud-Based Deployment: Deploy and maintain AI solutions on cloud platforms (e.g., AWS, Azure, Google Cloud) with scalable architectures. Domain-Specific Adaptation: Learn and integrate public health knowledge in HIV/STI prevention, nutrition counseling, and OUD treatment into AI solutions. Collaboration: Work closely with public health experts, data scientists, and researchers to refine AI models and improve application performance. Continuous Learning & Innovation: Stay updated on cutting-edge AI technologies, including LLMs, multimodal AI, reinforcement learning, and agentic frameworks. Supervisory/Team Role: When applicable, supervise and train team members and coordinate with the department on policies and procedures. Qualifications Minimum Qualifications: Three to five years of experience in AI application development; ability to work independently within a team; strong communication skills. Experience in health-related AI applications and knowledge of LLMs, multimodal AI, and reinforcement learning. Programming expertise in Python and JavaScript (React/Node.js) or other full-stack technologies for AI and web applications. Back-end Development: Strong API development, databases (SQL/NoSQL), and cloud computing knowledge. Front-End Development: Experience with React, Vue.js, or Angular for interactive applications. Cloud & DevOps: Experience deploying AI applications on AWS, Google Cloud, or Azure; familiarity with Docker, Kubernetes, and related tools. Agent-Based Modeling: Familiarity with modifying ABMs in epidemiology or public health domains. Domain Knowledge: Ability to learn and integrate public health concepts into AI-driven solutions. Team Player: Ability to collaborate in a multidisciplinary research team on government-funded projects. Apply Interested candidates should submit a CV and a short cover letter to Jun Tao at jun_tao@brown.edu and Philip Chan at philip_chan@brown.edu. Applications will be reviewed on a rolling basis. Compensation & Benefits Pay Range: $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 & Work Details Location: LHM-Providence, 200 Corliss St, Suite 2, Providence, RI 02904 Work Type: Full-time Work Shift: Day Daily Hours: 8 hours Driving Required: No #J-18808-Ljbffr