AI Agent Engineer: Patient Intake & Care Journeys

Hipp Health; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Hipp Health is seeking an AI Agent Engineer to build intelligent systems that improve the patient intake journey across ambulatory care. You will design agents to collect information, verify requirements, coordinate tasks, and guide families through complex workflows with privacy and safety at the forefront.

You will work across agent architecture, backend systems, integrations, evaluation, and product experience, delivering production-ready solutions and continuously iterating based on feedback

Qualifications

• Hands-on experience building AI agents, agentic products, or advanced LLM-powered applications.
• Familiarity with agent patterns: tool use, routing, planning, retrieval, memory, outputs, and human escalation.
• Strong software engineering skills and production-quality systems.
• Proficiency in Python, TypeScript, or a comparable programming language.
• Experience integrating APIs, databases, messaging systems, or workflow services.
• Experience designing, testing, and improving LLM behavior using systematic evaluations.
• Understanding agent failure modes, including hallucination, tool misuse, context loss, looping.
• Strong product instincts and empathy for users navigating unfamiliar or stressful processes.
• Ability to translate ambiguous real-world workflows into clear technical systems.
• Strong written communication and collaborative problem-solving skills.
• Comfort operating with autonomy and iterating quickly based on customer feedback.
• There is no fixed years-of-experience requirement.

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

Skills

AI agents

Agent patterns

Software engineering

Python/TypeScript

APIs/databases

LLM evaluation

Agent reliability

User empathy

Workflow modeling

Communication

Autonomy

No fixed years-experience

Job description

Hipp Health is seeking an AI Agent Engineer to build intelligent systems that improve the patient intake journey across ambulatory care. You will design agents to collect information, verify requirements, coordinate tasks, and guide families through complex workflows with privacy and safety at the forefront.

You will work across agent architecture, backend systems, integrations, evaluation, and product experience, delivering production-ready solutions and continuously iterating based on feedback