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
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 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).
Salary in USD
Only Remote in Argentina, Brazil, Colombia, Mexico, Paraguay, Chile, Peru, Costa Rica, Uruguay
To join the team of a SaaS company from USA.
#J-*****-Ljbffr

📌 Sr Back End Engineer (Node.Js/Rest/Ai) (Latam Remote)
🏢 Zeo Consulting
📍 Santa Fe