LumiMeds

Senior Full-Stack Engineer (Node.js & Next.js, AI-Native)- Remote

Vaga remota de Full Stack Engineering com fit claro de localização do candidato.

Publicada27 de jul. de 2026

Países elegíveis3 países aceitos

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

BrasilMéxicoÁfrica do Sul

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

EMR & Clinical Data Engine: Implementing high-availability Electronic Medical Record (EMR) systems with complex data modeling for patient history and clinical notes.
AI Clinical Copilot: Integrating LLMs to automate clinical documentation, summarize patient charts, and surface actionable insights for providers.
Prescription Management (e-Prescribing): Building secure, auditable workflows for medication orders, pharmacy integrations, and state-machine-based fulfillment tracking.
Virtual Care Infrastructure: Implementing real-time patient-provider interfaces, including WebRTC video, secure messaging, and async consultation flows.
E-commerce & Checkout: Engineering high-conversion storefront experiences, including complex product catalogs, subscription billing models, and dynamic pricing engines.

AI-Augmented Development: Use Cursor, Copilot, and LLM APIs as first-class engineering tools — not as an afterthought. Generate, validate, and iterate on code at machine speed.
Claude Agent Team Orchestration: Design and operate teams of Claude agents to parallelize engineering work — breaking large tasks into agent-
executable subtasks, managing context handoffs between agents, and coordinating outputs into coherent, production-ready deliverables. This is a core competency, not a bonus.
Full-Stack Feature Ownership: Drive end-to-end delivery across Node.js backends and Next.js frontends, from schema design to production deployment.
LLM Product Integration: Build and iterate on AI-powered product features — prompt pipelines, RAG architectures, structured output parsing, and agentic workflows embedded into clinical and consumer interfaces.
Production Quality: Maintain high standards for API contracts, database schema migrations, CI/CD pipelines, and observability. AI-generated code is your code — you own its correctness.
Compliance & Security: Ensure all systems meet HIPAA/SOC2 standards, focusing on data encryption, audit logs, and PII protection.
Next.js & React: Working knowledge of App Router, Server Components (RSC), and client/server data flow.
State Management: Experience with TanStack Query, Zustand, or similar.

Node.js & TypeScript: Strong command of async patterns, event-driven architecture, and runtime performance.
API Design: Proficiency in RESTful, GraphQL, and TypeSafe APIs (tRPC).
Database: Solid PostgreSQL fundamentals (joins, indexing, migrations) and Redis for caching.

LLM Integration: Hands-on experience integrating OpenAI or Anthropic APIs into production environments — streaming, tool use, structured outputs.
Claude Agent Teams: Demonstrated experience building and orchestrating Claude agent teams using the Claude Agent SDK. You know how to decompose a problem, spin up specialized subagents, manage inter-agent communication, and stitch outputs back into a reliable, production-ready result.
AI Dev Tooling: Daily active use of Cursor, GitHub Copilot, or equivalent. You have strong opinions about how to prompt effectively.
Cloud & DevOps: Familiarity with AWS (EC2, RDS, Lambda, S3), Vercel, and GitHub Actions.

3+ years of professional software engineering experience.
AI-Native Workflow: You can demonstrate, concretely, how AI has changed the way you write and ship software. Portfolio or examples preferred.
Full-Stack Range: Comfortable moving between backend logic and frontend implementation without hand-holding.
High Agency: Ability to operate in ambiguous environments, self-direct, and make high-leverage decisions without constant supervision.
Communication: Professional proficiency in English for technical documentation and async collaboration.

AI as Infrastructure: We don’t treat AI as a feature — it’s woven into how we build, test, document, and ship. You’ll be in the right environment to go further than anywhere else.
High Complexity: Work on hard engineering problems involving real-time data, complex clinical state machines, and high-stakes reliability.
Direct Impact: Your code will directly affect patient outcomes and the efficiency of healthcare providers.

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