• Construir y mantener aplicaciones web utilizando React con JavaScript/TypeScript. • Desarrollar y mantener servicios backend utilizando Python. • Trabajar con bases de datos relacionales/SQL y bases de datos NoSQL como MongoDB. • Implementar CI/CD y mantener pruebas unitarias para garantizar la calidad del código. • Colaborar y comunicarse de manera efectiva con un equipo distribuido.

• Develop and maintain Java applications • Collaborate with cross-functional teams • Involve in real-time project implementations • Utilize Kubernetes for container orchestration • Implement CI/CD strategies for deployment

• Desarrollar servicios backend utilizando Python y .NET/C# • Integrar marcos basados en LLM como LangGraph, AutoGen, etc. • Colaborar en flujos de trabajo impulsados por IA y arquitecturas escalables. • Construir frontends en React para aplicaciones impulsadas por IA.

• Sitting with product and client stakeholders to understand the real problem, then helping shape it into something concrete that can actually be built. • Owning features end to end, from early scoping and design through to building, testing and getting them live. • Using AI coding agents to move fast, while staying firmly in control of the quality, structure and long-term health of the code. • Building and integrating LLMs into features, refining the prompts, evaluations and guardrails that make AI-assisted features behave reliably in production. • Working against a defined data model and a clear contract, and flagging early when something doesn’t add up rather than building the wrong thing quickly. • Feeding what you learn back to the product and client teams, so each iteration is sharper than the last.