AI Agent Engineer – Patient Intake

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🔥 16 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hipp Health

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 $6.2M Seed Round on 2025-10

Healthcare • SaaS • Artificial Intelligence

Hipp Health is an AI-native clinical operations platform for ambulatory therapy practices (starting with Applied Behavior Analysis and expanding into Speech and Occupational Therapy). The platform provides end-to-end workflows including intake (SMS, portal, referral capture), scheduling, clinical care (session notes, treatment plans, clinical decision support), billing and revenue cycle management (claims, denials, payer calls), and compliance/HIPAA security. Hipp automates administrative tasks with agents and AI features to reduce denials, speed payments, streamline scheduling, and improve documentation quality, targeting therapy practices and clinics.

📋 Description

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

🎯 Requirements

• Hands-on experience building AI agents, agentic products, or advanced LLM-powered applications • Familiarity with tool use, routing, planning, retrieval, memory, structured outputs, and human escalation • Strong software engineering skills and experience building 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 of agent failure modes, including hallucination, tool misuse, context loss, looping, and brittle orchestration • Strong product instincts and empathy for users navigating unfamiliar or stressful processes • Ability to translate ambiguous workflows into clear technical systems • Strong written communication and collaborative problem-solving skills • Comfort operating with autonomy and iterating quickly based on customer feedback • Experience meaningfully building, testing, and improving agents; no fixed years-of-experience requirement • Knowledge of HIPAA, protected health information, consent, and data-minimization principles (nice to have) • Experience with conversational agents, customer-support automation, communications 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 (nice to have)

🏖️ Benefits

• Significant product and technical ownership • Opportunity to build agents that help more patients successfully enter care • Work on AI systems with clear, measurable real-world outcomes • Direct partnership with healthcare intake operators, practice leaders, product managers, designers, and engineers • Opportunity to help define safe and reliable patient-facing automation • Work at the intersection of AI, healthcare operations, and patient experience

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