Staff Software Engineer – Tech Lead

🕒 Julho 30

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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

• Own System Architecture: Design and evolve distributed systems on GCP (Cloud Run, Pub/Sub, BigQuery), making final decisions on service boundaries, data models, and technology trade-offs across Go, Python, and TypeScript. • AI & LLM Strategy: Lead hands-on integration of AI systems, including open-source LLMs, embeddings, and speech models. Define prompt optimization, evaluation strategies, and safety practices using tools like LangFuse. • Operational Excellence: Champion observability, reliability, and scale. Oversee event-driven ingestion and automated QA pipelines for call transcripts and healthcare data (FHIR / Medplum). • Delivery & Execution: Contribute code to critical paths while leading major technical initiatives. Identify gaps, unblock teams, and drive projects to completion. • Cross-Functional Leadership: Translate complex technical constraints into clear options and trade-offs for Product, Design, and Clinical Operations.

🎯 Requisitos

• 8+ years of software engineering experience, with 2+ years leading projects or serving as a Tech Lead. • Staff-level scope or equivalent technical impact. • Strong LLM experience in production environments (hands-on required). • ML background preferred, especially applied machine learning or AI infrastructure. • Expert-level proficiency in Go, Python, or TypeScript/Node, with the ability to review code across the stack. • Deep experience with distributed systems, containerized deployments (Docker, Kubernetes, Cloud Run), and event-driven architectures. • Experience hosting or integrating open-source models (e.g., vLLM, Ollama), with a strong understanding of RAG architectures. • Background in regulated environments (HIPAA, SOC 2) or healthcare data standards (FHIR, HL7). • Strong written and verbal communication skills, including writing RFCs and explaining technical strategy to non-technical stakeholders.

🏖️ Benefícios

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