Design, build, and maintain integrations with third-party platforms and APIs (e.g., construction ERPs, Microsoft and Google ecosystems, email and calendar providers, enterprise identity systems) Implement OAuth 2.0 / OpenID Connect flows, secure token management, webhooks, and bidirectional data sync Design queue-driven systems handling retries, rate limits, partial failures, backpressure, and eventual consistency Build scalable backend services (e.g., Node.js, TypeScript) Build comprehensive unit, integration, and end-to-end tests Build and review production PRs, identifying architectural, security, performance, and maintainability issues in both human and AI-generated code Apply modern AI engineering practices (e.g., specs, coding agents, AI editors, structured implementation, and review workflows) to increase development velocity Own complex and ambiguous engineering problems from requirements through production Work directly with customers, product managers, engineers, and external partners to translate requirements into technical solutions

Requisitos

Must-haves 6+ years of back-end development experience Experience with Node.js Experience with AI-assisted engineering workflows (e.g. spec-driven development, agentic development, Cursor, Claude Code, Codex, Windsurf)



Experience reviewing and validating AI-generated code against strong engineering standards Deep understanding of context engineering and task decomposition for coding agents Experience with JavaScript/TypeScript Experience with back-end frameworks (e.g. Express.js, NestJS) Experience building and maintaining third-party API integrations Experience with OAuth 2.0 / OpenID Connect, REST APIs, webhooks and token lifecycle management Experience with event-driven systems and message queues (e.g. AWS SQS), including retries, dead-letter queues and backpressure Experience with relational databases and ORMs (e.g. PostgreSQL, TypeORM) Experience with cloud platforms and containers (e.g. AWS, Docker) Ability to architect resilient distributed systems that depend on unreliable third-party APIs Ability to explain where AI agents succeed, where they fail, and how their output is kept production-ready Proficiency with testing, debugging, code review and PR development Deep knowledge of OOP, SOLID and software design principles Strong communication skills in both spoken and written English, with confidence in direct customer conversations Strong emphasis on hands-on AI-assisted engineering: candidates should have real experience with AI coding agents (e.g. Cursor, Codex, Windsurf) plus reviewing and validating AI-generated code, context engineering, and task decomposition, on top of solid Node.js/TypeScript back-end and third-party API integration work (OAuth, webhooks, queues).

Incentivos

Salary in USD Work ModelLong-term · 40h/week Only Remote in Argentina, Brazil, Colombia, Mexico, Paraguay, Chile, Peru, Costa Rica, Uruguay

📌 Sr Back End Engineer (Node.JS/REST/AI) (LATAM remote)
🏢 Zeo Consulting
📍 Buenos Aires