AI Engineer Ssr
hace 22 horas
Descripción del puesto
Nos encontramos en la búsqueda de AI Engineer, cuya misión será diseñar, construir y escalar soluciones de IA generativa que entreguen valor concreto y medible, trabajando de punta a punta: desde prototipos hasta producción. El rol implica integrar LLMs y APIs, orquestar pipelines de GenAI y desplegar en entornos cloud (AWS/GCP), garantizando seguridad, rendimiento y observabilidad.
Te presentamos algunas tareas del desafío:
Build & Ship
Diseñar e implementar soluciones de agentes de voz, automatizaciones front/back y chatbots con RAG avanzado.Desarrollar soluciones enterprise-ready: escalables, seguras, testeables y observables (logging, metrics, tracing).Convertir POCs en productos robustos: hardening, performance, resiliencia y costo-eficiencia.Arquitectura & Datos
Orquestar pipelines de GenAI (LangGraph, MCP) con versionado y reutilización.Integrar APIs (OpenAI, Gemini, Anthropic, etc.), embeddings, vector stores y conectores de datos.Definir y mantener guardrails, validaciones, políticas de seguridad y manejo de PII.Calidad & Operación
Asegurar testing (unitario, contract, e2e), monitoring, alerting y rollbacks seguros.Implementar métricas de calidad de respuestas (evals/offline) y feedback loops en producción.Documentar decisiones técnicas.Colaboración & Producto
Trabajar en equipo con el área de GenAI y con IT central, en articulación con el Chief AI Officer.Traducir necesidades en historias técnicas claras.Comunicar avances, riesgos y aprendizajes con autonomía.Requisitos
Para tomar este rol necesitamos que cuentes y tengas experiencia con
Graduados en Sistemas, Ciencias de la Computación, Matemáticas o experiencia equivalente.Experiencia como software engineer con participación en proyectos de IA Generativa productivos.Hard Skills:
Capacidad para diseñar e implementar soluciones end-to-end, desde prototipos hasta producción.Dominio de Python (preferente) y/o Conocimientos sólidos en RAG (pipeline, retrieval, chunking, evaluaciones) y vector DBs (pgvector, FAISS u otros).Experiencia en integración de APIs y patrones de arquitectura (REST/gRPC, auth, retries, rate limiting, idempotencia).Plus: experiencia en construcción de chatbots inteligentes con LLMs y GCP, uso de LangGraph, MCP servers, function/tool calling y observabilidad de prompts.Softs SkillsTrabajo en equipo y liderazgo colaborativo.Autonomía, proactividad y orientación a resultados.Comunicación efectiva para presentar información técnica y de negocio de manera clara.
Metodología de trabajo y cultura
Autonomía para investigar y ejecutar con mínima supervisión.Uso activo de IA (copilots, agentes, scripts) para acelerar desarrollo.Cultura basada en teamwork, transparencia, feedback honesto y foco en impacto real.Propiedad end-to-end: desde diseño hasta soporte en operación.Beneficios
Trabajo 100% remotoJornada: FulltimeModalidad de Contratación: Relación de dependencia
Detalles
Nivel mínimo de educación: Universitario (Indistinto)
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