Full-Stack Engineer – Mid-Level

Posted Oct 22

This is a fully remote position, open to applicants in Mexico, +1 more country.

πŸ“‹ Description

β€’ Design and implement APIs and backend services with well-defined boundaries, automated testing, and code reviews.

β€’ Develop client portals, internal consoles, administrative interfaces, and dashboards.

β€’ Evaluate AI-generated and prototype codebases to decide what should be retained or reconstructed for production deployment.

β€’ Integrate AI models and services, including real-time capabilities.

β€’ Oversee Azure infrastructure as code and manage CI/CD processes across development, staging, and production environments.

β€’ Create integrations with CRMs, ticketing systems, and other third-party platforms.

β€’ Set up logging, metrics, tracing, alerts, and be part of an on-call rotation.

β€’ Implement authentication, ensure multi-tenant isolation, manage secure secrets, and handle personal data safely.

β€’ Keep thorough technical documentation.

β€’ Work collaboratively with AI/ML engineers, project managers, CX designers, and BPO operations teams.


⛳️ Requirements

β€’ 3–5 years of experience in developing and maintaining production web applications across both backend and frontend.

β€’ A minimum of 2 years of experience in deploying applications on Microsoft Azure.

β€’ Proficient in TypeScript, Node.js, and React, with a working knowledge of Python for AI/ML services.

β€’ Experience in designing and integrating REST or GraphQL APIs.

β€’ Knowledge of relational and NoSQL databases, along with caching and queuing mechanisms.

β€’ Understanding of real-time or event-driven systems, such as WebSockets, streaming, and messaging queues.

β€’ Experience with third-party API integrations, including LLM providers.

β€’ Familiarity with CI/CD practices using GitHub Actions or Azure DevOps.

β€’ Knowledge of Docker and infrastructure-as-code tools like Bicep or Terraform.

β€’ Solid practices in testing, monitoring, debugging, and code reviews.

β€’ Proven ability to convert prototypes or AI-generated code into stable production-level applications by addressing security vulnerabilities, improving error handling, and adding necessary tests.

β€’ Familiarity with AI coding tools such as GitHub Copilot, Cursor, or Claude Code, along with the capability to review, validate, and correct their outputs.

β€’ Proficient in written and spoken English and Spanish.

β€’ Located in Colombia or Mexico, with the legal right to work in that country.


🏝️ Benefits

β€’ Flexible remote work options.

β€’ Opportunity to collaborate with AI/ML engineers, project management, CX design, and BPO operations teams.

β€’ Working hours that align with EST business hours.

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