Agent Engineer

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🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 25%

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Hipp Health

SiteLinkedInTodas as Vagas

2 - 10 funcionários

Fundada em 2024

🏥 Saúde

☁️ SaaS

🤖 Inteligência Artificial

💰 $6.200.000 Seed Round em 2025-10

Healthcare • SaaS • Artificial Intelligence

A Hipp Health é uma plataforma de operações clínicas AI-native para clínicas de terapias ambulatoriais, começando por Applied Behavior Analysis e expandindo para Speech Therapy e Occupational Therapy. A plataforma oferece workflows completos, incluindo intake (SMS, portal e captação de encaminhamentos), agendamento, atendimento clínico (notas de sessão, planos de tratamento e clinical decision support), faturamento e revenue cycle management (claims, negativas, contato com operadoras) e compliance/segurança HIPAA. A Hipp automatiza tarefas administrativas com agents e recursos de AI para reduzir negativas, acelerar pagamentos, simplificar o agendamento e melhorar a qualidade da documentação, tendo como público-alvo clínicas e consultórios de terapia.

Descrição

• 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 for billing systems, practice data, APIs, queues, and internal services • Develop orchestration for planning, routing, tool selection, retries, escalation, and human review • Build evaluation suites measuring task completion, accuracy, reliability, latency, cost, and operational impact • Create guardrails and approval mechanisms for claims, payments, patient information, and sensitive practice data • Investigate production failures using traces, logs, conversation histories, and tool-call data • Partner with billing experts, customers, product managers, and engineers to identify automation opportunities • Design systems that determine when to act autonomously, request clarification, or escalate to a human • Improve agent performance through prompt iteration, tool design, context engineering, retrieval, model selection, and workflow redesign • Own features from discovery through launch, monitoring, and iteration

🎯 Requisitos

• 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 • 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 interest in understanding how users perform their work • Clear communication and ability to collaborate with technical and operational stakeholders • High degree of ownership, curiosity, and comfort working in an evolving startup environment • Willingness to obtain employer-sponsored work authorization is addressed in the application form; no explicit requirement is stated in the posting

🏖️ Benefícios

• 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

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