- 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

To join the team of a SaaS company from USA.

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