AI Agent Engineer – Patient Intake

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and deploy AI agents that facilitate patient and caregiver intake processes.

• Develop multi-step agents that gather information, respond to inquiries, coordinate tasks, and advance cases toward admission.

• Integrate agents with scheduling systems, practice data, communication channels, APIs, and internal workflow tools.

• Design both conversational and non-conversational agent interactions.

• Create tools, state models, and orchestration logic for extended workflows.

• Set up escalation procedures for clinical, operational, privacy, and safety-sensitive scenarios.

• Construct evaluations to assess accuracy, completeness, tone, safety, user experience, and operational results.

• Examine agent interactions and user behavior to pinpoint failure patterns and enhance performance.

• Collaborate with intake coordinators, practice leaders, product managers, designers, and engineers.

• Design review and handoff processes that balance automation with human oversight.

• Implement monitoring and safeguards to ensure production reliability.

• Develop reusable agent infrastructure and best practices across Hipp.

⛳️ Requirements

• Practical experience in building AI agents, agentic products, or advanced LLM-powered applications.

• Familiarity with tools for routing, planning, retrieval, memory, structured outputs, and human escalation.

• Strong software engineering skills with experience in developing production-quality systems.

• Proficiency in Python, TypeScript, or a similar programming language.

• Experience in integrating APIs, databases, messaging systems, or workflow services.

• Experience in designing, testing, and refining LLM behavior through systematic evaluations.

• Knowledge of agent failure modes, including hallucination, tool misuse, context loss, looping, and fragile orchestration.

• Strong product instincts and empathy for users dealing with unfamiliar or stressful situations.

• Ability to convert ambiguous workflows into well-defined technical systems.

• Excellent written communication and collaborative problem-solving skills.

• Comfort working autonomously and iterating swiftly based on customer feedback.

• Experience in meaningfully building, testing, and enhancing agents; no fixed years-of-experience requirement.

• Familiarity with HIPAA, protected health information, consent, and data-minimization principles (preferred).

• Experience with conversational agents, customer support automation, communication workflows, voice, SMS, email, omnichannel systems, healthcare intake, patient access, eligibility, referrals, scheduling, stateful workflows, RAG, document extraction, knowledge systems, identity resolution, or human review interfaces (preferred).

🏝️ Benefits

• Significant ownership of product and technical aspects.

• Opportunity to create agents that assist more patients in successfully entering care.

• Work on AI systems with clear, measurable real-world impacts.

• Direct collaboration with healthcare intake operators, practice leaders, product managers, designers, and engineers.

• Chance to help shape safe and reliable patient-facing automation.

• Work at the intersection of AI, healthcare operations, and patient experience.