Agent Engineer

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

📋 Description

• Design and implement AI agents for billing, compliance, and practice management workflows.

• Convert intricate, multi-step operational processes into dependable agent workflows.

• Develop tools and integrations for billing systems, practice data, APIs, queues, and internal services.

• Create orchestration for planning, routing, tool selection, retries, escalation, and human review.

• Construct evaluation suites to assess task completion, accuracy, reliability, latency, cost, and operational impact.

• Establish guardrails and approval processes for claims, payments, patient information, and sensitive practice data.

• Analyze production failures by examining traces, logs, conversation histories, and tool-call data.

• Collaborate with billing experts, customers, product managers, and engineers to pinpoint automation opportunities.

• Design systems that ascertain when to act autonomously, seek clarification, or escalate to a human.

• Enhance agent performance through prompt iteration, tool design, context engineering, retrieval, model selection, and workflow redesign.

• Take ownership of features from discovery through launch, monitoring, and iteration.

⛳️ Requirements

• Proven experience in building AI agents, agentic applications, or advanced LLM-powered workflows.

• Experience in developing systems that utilize tools, APIs, structured outputs, retrieval, memory, or multi-step reasoning.

• Strong foundation in software engineering and the capability to deliver maintainable production code.

• Proficiency in Python, TypeScript, or another language utilized for building production backend systems.

• Experience in designing and integrating APIs, databases, asynchronous jobs, and external services.

• Solid understanding of where LLMs are effective and where deterministic logic, validation, or human review is essential.

• Experience in evaluating agent behavior beyond anecdotal evidence.

• Comfort in debugging nondeterministic systems and transforming failure patterns into measurable improvements.

• Strong product judgment and an interest in comprehending how users conduct their work.

• Excellent communication skills and the ability to collaborate with both technical and operational stakeholders.

• High level of ownership, curiosity, and adaptability in a dynamic startup environment.

• Willingness to pursue employer-sponsored work authorization as indicated in the application form; no explicit requirement is stated in the posting.

🏝️ Benefits

• Develop AI agents that carry out meaningful work for healthcare providers.

• Address complex operational challenges with measurable impacts on customers and businesses.

• Join an early engineering team and contribute to defining Hipp’s agent architecture and engineering practices.

• Collaborate directly with product leaders, domain experts, founders, and customers.

• Work at the convergence of AI, healthcare infrastructure, billing, and workflow automation.

• Take ownership of significant systems from concept to production.