Full-Stack Engineer – Mid-Level

• Design, build, and run production applications on Microsoft Azure
• Develop backend APIs and services with clear boundaries, automated tests, and code review
• Create client portals, internal consoles, admin screens, and dashboards
• Review AI-generated and prototype codebases, determine what to keep or rebuild, and prepare them for real users
• Connect AI models and services, including real-time features
• Manage infrastructure as code and CI/CD across development, staging, and production environments on Azure
• Build integrations with CRMs, ticketing tools, and other third-party platforms
• Implement logging, metrics, tracing, alerts, and participate in an on-call rotation
• Implement authentication, multi-tenant isolation, secure secrets management, and safe handling of personal data
• Maintain clear technical documentation
• Collaborate with AI/ML engineers, product and project managers, CX designers, and operations teams

• 3–5 years of experience building and running production web applications across both backend and frontend
• At least 2 years of experience building and running applications on Microsoft Azure
• Strong TypeScript, Node.js, and React skills, with working knowledge of Python for AI/ML services
• Experience designing and integrating REST or GraphQL APIs
• Experience with relational and NoSQL databases, caching, and queues
• Familiarity with real-time or event-driven systems, including WebSockets, streaming, and messaging queues
• Experience integrating third-party APIs, including LLM providers
• Experience with CI/CD using GitHub Actions or Azure DevOps
• Familiarity with Docker and infrastructure-as-code tools such as Bicep or Terraform
• Good testing, monitoring, debugging, and code review practices
• Track record of turning prototypes or AI-generated code into stable production applications by addressing security gaps, weak error handling, and missing tests
• Familiarity with AI coding tools such as GitHub Copilot, Cursor, or Claude Code, and ability to review, validate, and correct their output
• Professional written and spoken English and Spanish
• Based in Colombia or Mexico, with the right to work in that country

• Remote work from Colombia or Mexico
• English-speaking role
• Collaboration with AI/ML engineers, project management, CX design, and BPO operations teams