{"id":3289083,"url":"https://alion.io/job/pasiona-ai-platform-engineer-devex-design-systems","title":"AI Platform Engineer – DevEx & Design Systems","company":{"id":2688484,"name":"Pasiona","domain":"pasiona.com","url":"https://alion.io/company/pasiona","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":83,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, 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del puesto / Funciones\nBuscamos a un/a AI Platform Engineer especializado/a en desarrollo de herramientas e infraestructura de Inteligencia Artificial para potenciar y transformar el uso de nuestro Design System.\nEn este rol no te encargarás de maquetar componentes UI ni de diseñar interfaces gráficas.Tu misión principal será diseñar la arquitectura, servidores y flujos de trabajo con IA (mediante el protocolo MCP) que permitan a nuestros equipos de desarrollo consumir,entender e integrar el Design Systemde forma más rápida,inteligente y automatizada.\nTrabajarás en el punto de encuentro entre la ingeniería de software backend (Node.js / TypeScript) y la integración de modelos de lenguaje (LLMs, agentes y desarrollo asistido por IA).\nInfraestructura de IA y MCP: Diseñar, construir y mantener servidores e integraciones bajo el protocolo Model Context Protocol (MCP) para conectar los recursos de nuestro Design System con asistentes de código y agentes de IA.\n\nHerramientas para Desarrolladores (DevEx): Empaquetar capacidades de IA en herramientas modulares, reutilizables y bien documentadas que mejoren la productividad de los equipos.\n\nWorkflows Agénticos e Instrucciones: Desarrollar prompts estructurados, instrucciones para agentes de código y flujos automatizados para tareas comunes de desarrollo.\n\nEcosistema de IA: Establecer buenas prácticas de adopción de IA, control de contexto, gobernanza y seguridad de código generado por LLMs.\n\nDocumentación y Habilitación: Crear guías, plantillas y ejemplos técnicos que faciliten la adopción de estas soluciones internas por parte de otros ingenieros.\n\nRequisitos mínimos\nBase sólida de Ingeniería de Software: Experiencia comprobada construyendo APIs, lógica de negocio y arquitectura de software mantenible.\n\nExperiencia práctica en MCP (Model Context Protocol): Desarrollo o integración real de servidores, herramientas o clientes MCP.\n\nDominio de TypeScript / JavaScript en Backend (Node.js): Capacidad para programar la lógica e integraciones de IA en el lenguaje estándar de nuestro ecosistema web.\n\nWorkflows de IA y Agentes: Experiencia integrando APIs de LLMs, tool calling, gestión de contexto e instrucciones estructuradas para asistentes de programación (Claude Code, GitHub Copilot, Cursor, etc.).\n\nCapacidad de Empaquetado Técnico: Habilidad para convertir soluciones complejas en herramientas internas fáciles de adoptar por otros desarrolladores.\n\nRequisitos valorables\nFamiliaridad con la estructura y consumo de Design Systems, librerías de componentes UI (React, etc.) y documentación técnica.\n\nCreación de herramientas CLI, automatizaciones internas o plataformas para desarrolladores.\n\nExperiencia en testing automatizado y evaluación de calidad/precisión para respuestas de IA.\n\nIdiomas\nC1 en 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