[Hiring] Agent Engineer @Hipp Health

Role Description

We’re looking for an Agent Engineer to build intelligent agents that help healthcare practices manage billing, compliance, and day-to-day operations. You will develop production agents that can understand complex compliance and practice-management workflows, retrieve and reason over operational data, use tools safely, and take reliable action. These systems will support workflows such as:

• Patient intake
• Payor compliance
• Claim preparation
• Billing follow-up
• Payment reconciliation
• Task prioritization
• Exception handling
• Operational reporting

This is not a research-only or prompt-writing role. You will own agentic systems end to end—from workflow discovery and architecture through tool integration, evaluation, deployment, monitoring, and continuous improvement.

What You’ll Do

• Design and ship production AI agents for billing, compliance, and practice-management workflows
• Translate complex, multi-step operational processes into reliable agent workflows
• Build tools and integrations that allow agents to interact safely with billing systems, practice data, APIs, queues, and internal services
• Develop orchestration patterns for planning, routing, tool selection, retries, escalation, and human review
• Build evaluation suites that measure task completion, accuracy, reliability, latency, cost, and operational impact
• Create guardrails and approval mechanisms for actions involving claims, payments, patient information, or sensitive practice data
• Investigate production failures using traces, logs, conversation histories, and tool-call data
• Partner closely with billing experts, customers, product managers, and engineers to understand real workflows and identify opportunities for automation
• Design systems that know when to act autonomously, when to ask for clarification, and when to escalate to a human
• Improve agent performance through prompt iteration, tool design, context engineering, retrieval, model selection, and workflow redesign
• Own features from initial discovery through launch, monitoring, and iteration

Qualifications

• Demonstrated experience building AI agents, agentic applications, or sophisticated LLM-powered workflows
• Experience building systems that use tools, APIs, structured outputs, retrieval, memory, or multi-step reasoning
• Strong software engineering fundamentals and the ability to ship maintainable production code
• Proficiency in Python, TypeScript, or another language used to build production backend systems
• Experience designing and integrating APIs, databases, asynchronous jobs, and external services
• A strong understanding of where LLMs are effective—and where deterministic logic, validation, or human review is necessary
• Experience evaluating agent behavior beyond anecdotal testing
• Comfort debugging nondeterministic systems and turning failure patterns into measurable improvements
• Strong product judgment and an interest in understanding how users actually perform their work
• Clear communication and the ability to collaborate with both technical and operational stakeholders
• A high degree of ownership, curiosity, and comfort working in an evolving startup environment

Nice to Have

• Experience with healthcare billing, revenue cycle management, claims, remittance, eligibility, or practice-management systems
• Familiarity with healthcare data, HIPAA requirements, or regulated workflows
• Experience with agent frameworks, model APIs, tracing platforms, or evaluation tooling
• Experience implementing human-in-the-loop workflows and approval systems
• Familiarity with RAG, structured extraction, document processing, and long-running agent workflows
• Experience operating AI systems with real users and meaningful reliability requirements
• Startup experience or experience working on a small, high-ownership engineering team

Benefits

• Build AI agents that perform real work for healthcare providers
• Solve complex operational problems with measurable customer and business impact
• Join an early engineering team and help define Hipp’s agent architecture and engineering practices
• Work directly with product leaders, domain experts, founders, and customers
• Build at the intersection of AI, healthcare infrastructure, billing, and workflow automation
• Own important systems from concept through production