AI Agent Engineer — Patient Intake

Hipp is an AI-native healthcare platform modernizing operations for non-hospital healthcare providers. The AI Agent Engineer will build and improve intelligent systems for patient and caregiver intake, integrating them with healthcare workflows while ensuring empathy, reliability, privacy, safety, and effective escalation.

Responsibilities:

• Design and ship AI agents that support patient and caregiver intake workflows
• Build multi-step agents that collect information, answer questions, coordinate tasks, and move cases toward successful admission
• Integrate agents with scheduling systems, practice data, communication channels, APIs, and internal workflow tools
• Design conversational and non-conversational agent experiences that are clear, empathetic, and easy to use
• Develop tools, state models, and orchestration logic for long-running workflows that may span multiple interactions
• Establish escalation paths for clinical, operational, privacy, and safety-sensitive situations
• Build evaluations for accuracy, completion, tone, safety, user experience, and downstream operational outcomes
• Analyze agent traces and user behavior to identify failure patterns and improve performance
• Partner directly with intake coordinators, practice leaders, product managers, designers, and engineers
• Balance automation with human judgment by designing effective review and handoff experiences
• Implement monitoring and safeguards for production reliability
• Help establish reusable agent infrastructure and best practices across Hipp