AI Agent Engineer — Patient Intake

Role overview Create AI agents that guide patients and caregivers through healthcare intake, from initial questions and information gathering to follow-up and readiness for admission. The work spans agent design, backend systems, integrations, product experience, and evaluation, with careful attention to privacy, safety, clear communication, and appropriate human handoffs.

Responsibilities - Build agents for multi-step intake tasks, including answering questions, collecting information, and coordinating follow-up. - Connect agents to scheduling tools, practice data, communication channels, APIs, and internal workflows. - Design clear and empathetic conversational or other user-facing experiences. - Develop state models and orchestration for workflows that continue across multiple interactions. - Define escalation paths for clinical, operational, privacy, and safety-sensitive situations. - Evaluate accuracy, completion, tone, safety, user experience, and operational outcomes; use traces and user behavior to improve performance.

Requirements - Hands-on experience building AI agents, agentic products, or advanced LLM-powered applications. - Ability to turn ambiguous real-world processes into clear technical workflows. - Skill in designing tools, integrations, evaluation, and monitoring for dependable production agents. - Strong written communication and collaborative problem-solving skills. - Comfort working autonomously and improving a product based on customer feedback; no fixed years-of-experience threshold is specified.

Nice to have - Experience with conversational, customer-support, voice, SMS, email, or omnichannel systems. - Familiarity with healthcare intake, patient access, eligibility, referrals, or scheduling. - Knowledge of health-data privacy, consent, and data minimization. - Experience with stateful workflows, retrieval, document extraction, identity resolution, or human-review interfaces.