Full-Stack AI DeveloperBrown University Health is seeking a highly motivated Full-Stack AI Developer to join a government-funded research team working at the intersection of artificial intelligence, digital health, and public health interventions. The ideal candidate will play a key role in the development and optimization of multimodal AI models, AI-driven chatbots, and agent-based modeling frameworks, contributing to research on HIV prevention, sexually transmitted infection (STI) prevention, nutrition counseling, overdose prevention, and opioid use disorder (OUD) treatment.ResponsibilitiesAI and Software Development: Design, develop, and optimize multimodal AI models, AI-based chatbots, and modify existing agent-based modeling frameworks.Full-Stack Engineering: Develop and maintain both front-end and back-end components of AI-driven applications, ensuring seamless user experiences.Cloud-Based Deployment: Deploy and maintain AI solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud) with scalable architectures.Domain-Specific Adaptation: Learn and integrate public health knowledge in HIV prevention, STI prevention, nutrition counseling, and OUD treatment into AI-based 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 large language models, reinforcement learning, and agentic frameworks.Required Qualifications:Programming Expertise: Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies for AI and web applications.AI/ML Experience: Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, LangChain, AutoGen).Back-End Development: Strong knowledge of API development, databases (SQL/NoSQL), and cloud computing.Front-End Development: Experience in React, Vue.js, or Angular for interactive and user-friendly applications.Cloud & DevOps: Experience in deploying AI applications on AWS, Google Cloud, or Azure, and familiarity with containerization (Docker, Kubernetes).Agent-Based Modeling: Familiarity with modifying agent-based models (ABMs) in domains such as epidemiology or public health.Ability to Learn Domain Knowledge: Strong interest and ability to understand and integrate public health concepts into AI-driven solutions.Team Player: Ability to collaborate in a multidisciplinary research team and contribute to government-funded projects.Preferred Qualifications:Bachelor's Degree or above in computer science or closely related fieldExperience working in health-related AI applications.Knowledge of LLMs, multimodal AI, and reinforcement learning.Prior work with digital health interventions.Interested candidates should submit a CV and a short cover letter through the career website and complete the application process. Applications will be reviewed on a rolling basis.Pay Range: $67,724.80-$111,716.80EEO 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.