AI Agent Engineer – Compliance

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🔥 15 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 15%

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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 for documentation review, workflow compliance, policy checks, and operational quality assurance • Convert complex requirements into testable agent workflows, tools, policies, and decision boundaries • Build retrieval systems grounded in approved policies, contracts, payer rules, and internal guidance • Develop structured review workflows that surface missing information, inconsistencies, exceptions, and recommended next actions • Create citations, evidence trails, and audit logs for agent outputs and actions • Design human-review and approval mechanisms for high-risk or ambiguous decisions • Build evaluations for factual grounding, policy adherence, consistency, recall, precision, and safe escalation • Partner with compliance, clinical, billing, product, and engineering stakeholders to define requirements • Monitor production agent behavior and investigate failures, regressions, or unexpected patterns • Build versioning and change-management mechanisms for policies, prompts, models, and evaluation datasets • Apply privacy-by-design and least-privilege principles to agent tools and data access • Contribute reusable agent infrastructure and engineering standards across Hipp

🎯 Requirements

• Demonstrated experience building AI agents, agentic systems, or substantial LLM-powered products • Strong software engineering skills and the ability to build secure, maintainable production systems • Experience with tool-using agents, retrieval, structured outputs, workflow orchestration, or model evaluations • Experience grounding AI systems in authoritative source material • A strong understanding of agent reliability, traceability, observability, and failure handling • Ability to distinguish between probabilistic model behavior and decisions requiring deterministic enforcement • Experience building integrations with APIs, databases, document systems, or internal services • Proficiency in Python, TypeScript, or a comparable programming language • Strong analytical judgment and attention to detail • Clear written communication, particularly when explaining technical behavior and system limitations • Comfort collaborating with domain experts to translate nuanced rules into practical product behavior • Experience in healthcare, healthtech, insurance, fintech, legal technology, or another regulated domain • Familiarity with HIPAA, SOC 2, healthcare documentation, payer requirements, or audit processes • Experience building policy engines, rules systems, or case-management workflows • Experience with document intelligence, semantic retrieval, knowledge graphs, or provenance systems • Familiarity with model risk management and responsible-AI practices • Experience designing red-team tests or adversarial evaluations for agents • Experience implementing role-based access control, data retention, or audit logging • Startup or early-stage product experience • Must answer whether employer-sponsored work authorization will be required to work in the United States

🏖️ Benefits

• Build AI systems for consequential workflows where quality and trust matter • Help define Hipp’s standards for safe, auditable, and reliable agents • Work directly with domain experts and customers • Shape foundational agent infrastructure across the product • Join a small team with significant technical and product ownership • Help healthcare providers manage complexity while remaining focused on patient care

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