Applied AI Engineer

🕒 Outubro 5

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

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OpenLoop

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2020

💼 Consultoria

⚖️ Jurídico

📦 Logística

💰 $15.000.000 Series A - OpenLoop Health em 2023-03

Consulting • Legal • Logistics

A OpenLoop é uma plataforma de telemedicina marca branca e fornecedora de serviços gerenciados que ajuda as organizações a lançar e escalar programas de atendimento virtual. Combina tecnologia SaaS personalizável (agendamento, reservas, pagamentos, integrações EHR/API) com equipe clínica, credenciamento, cobertura de pagamento e RCM, suporte regulatório/jurídico e suporte ao paciente 24/7. A OpenLoop atende planos de saúde, hospitais e sistemas de saúde, varejistas, empregadores e empresas de saúde digital com operações impulsionadas por IA, uma rede nacional de médicos e ampla cobertura de seguros, incluindo Medicare e Medicaid.

Descrição

• Build and run production LLM-based agents and assistants • Build agent runtime and orchestration, including tool calls, context handling, handoffs, failure handling, retries, timeouts, and sandboxing • Build evaluation sets, test harnesses, regression tests, and AI-graded evaluations • Work across multiple model providers, manage version upgrades, and plan provider fallbacks • Trace agent behavior, monitor production performance, and attribute AI spend to agents and use cases • Connect agents to company data using retrieval (RAG), context design, and prompt engineering • Work with operations teams to determine which workflow steps agents can perform reliably and when to escalate to people • Protect patient data (PHI), control agent access, and defend against prompt injection • Build on GCP and partner with Data Platform teams • Contribute to code and design reviews and support engineers newer to AI • Explain AI trade-offs to product, operations, and clinical stakeholders • Perform other duties as assigned

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or a related technical field • 5 to 15+ years of software engineering experience • Hands-on experience building and running LLM-based systems in production that real users relied on • Senior Staff candidates typically bring 2+ years of production LLM experience • Hands-on depth in at least one core area: agent runtime, evaluation, retrieval, or observability and cost • Staff and Senior Staff candidates need depth in agent runtime or evaluation • Senior Staff candidates need a second deep area plus working knowledge across the rest • Experience measuring AI system performance with evaluation data • Strong production engineering across testing, debugging, services, APIs, deployment, and on-call • Experience handling sensitive data with a security-first mindset • Comfort working in a greenfield space • Clear communication with technical and non-technical partners • Healthcare, finance, or insurance experience preferred • GCP production services experience preferred • Experience migrating systems between model versions or providers preferred • Machine learning experience beyond LLMs preferred • Experience building internal platforms used by other engineering teams preferred • For Senior Staff, experience leading a small team's technical direction and growing a single pod into multiple teams preferred

🏖️ Benefícios

• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance • Pet insurance