AI Agent Engineer — Compliance Engineering • Remote (United States)

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

Job summary

Hipp Health in the United States seeks an AI Agent Engineer to build systems for accurate, compliant documentation review and policy-aware automation. You will design agents that identify gaps, ground decisions in approved guidance, and provide auditable outputs for high-stakes healthcare workflows.

Collaborate with compliance, clinical, and product teams to define requirements, implement retrieval-grounded architectures, and ensure reliability, safety, and explainability across agent tooling.

Qualifications

• Proven experience building AI agents or substantial LLM-powered products.
• Strong software engineering skills for secure, maintainable production systems.
• Experience with tool-using agents, retrieval, or structured outputs.
• Ability to ground AI systems in authoritative source material and data.
• Solid understanding of reliability, traceability, and observability in agents.
• Distinguish probabilistic model behavior from deterministic decisions.
• Experience integrating APIs, databases, document systems or internal services.
• Proficiency in Python or TypeScript or similar language.
• Strong analytical judgment and meticulous attention to detail.
• Clear written communication, especially around technical behavior.

Responsibilities

• Design and ship AI agents for documentation review and policy checks.
• Convert complex requirements into testable agent workflows and rules.
• Build retrieval systems grounded in contracts, payer rules, and internal guidance.
• Develop structured review workflows to surface gaps and actions.
• Create citations, evidence trails, and audit logs for outputs.
• Design human-review and approval mechanisms for high-risk decisions.
• Build evaluations for grounding, policy adherence, and safe escalation.
• Collaborate with compliance, clinical, billing, product, and engineering.
• Monitor agent behavior and investigate failures or regressions.
• Implement versioning and change management for policies and prompts.
• Apply privacy-by-design and least-privilege data access.
• Contribute reusable agent infrastructure and standards across Hipp.

Skills

AI agent development

Production software

Tool-using agents

Retrieval workflows

APIs integration

Python

TypeScript

Observability

Analytical thinking

Clear communication

Job description

About Hipp

Hipp is an AI-native healthcare platform built to modernize operations for non-hospital healthcare providers. Our platform brings clinical workflows, billing infrastructure, scheduling, documentation, patient engagement, and operational data into a single intelligent system.

Healthcare organizations operate within detailed payer, regulatory, clinical, and documentation requirements. Hipp helps practices manage that complexity through software designed around real provider workflows, with AI and automation embedded throughout the platform.

Role Overview

We’re looking for an AI Agent Engineer to build systems that help healthcare practices operate accurately, consistently, and in alignment with regulatory and payer requirements.

You will develop agents that can review documentation, identify missing or inconsistent information, apply configurable policies, explain findings, and guide users toward resolution. You will also build the evaluation, audit, and human-review infrastructure required for agents operating in high-stakes environments.

This role requires strong engineering judgment. Compliance agents must be helpful without overreaching, explain their reasoning without presenting unsupported conclusions, preserve auditability, and elevate appropriately when policy interpretation or human judgment is required.

What You’ll Do

• 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 that ground agent behavior in approved policies, contracts, payer rules, and internal guidance
• Develop structured review workflows that surface missing information, inconsistencies, exceptions, and recommended next actions
• Create clear citations, evidence trails, and audit logs for agent outputs and actions
• Design human-review and approval mechanisms for high-risk or ambiguous decisions
• Build rigorous 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

What We’re Looking For

• 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

We do not require a prescribed number of years of experience. We are looking for candidates who can demonstrate meaningful work building agents or AI systems that must be accurate, explainable, and reliable.

Nice to Have

• 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

Why Join Hipp

• 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