• Lead the architecture, development, training, optimization, and deployment of AI/ML models and pipelines from prototype to production scale. • Develop cloud-based AI services (leveraging LLMs and multimodal models via APIs like Gemini, OpenAI, or equivalents) for advanced personalization, recommendation engines, natural language understanding of travel queries, and feedback loops. • Establish and enforce best practices: clean ML code, experiment tracking, MLOps (model versioning, monitoring, A/B testing, drift detection), automated evaluation pipelines, cost-efficient inference, and ethical AI considerations (bias mitigation, privacy). • Collaborate on feature definition, data requirements, success metrics, and iteration. • Handle unique challenges in an AI-powered travel app: multimodal data (location, text, images), sparse/seasonal travel datasets, real-time adaptability, offline/online hybrid inference, and seamless integration with mobile clients and backend APIs. • Mentor future team members as we expand the AI engineering group and help shape our AI culture from the start.

• Architect and build agentic AI systems using Claude Code • Design the AI harness, including: - State management - Context management (preventing context rot) - Tool orchestration - Error recovery strategies - Verification and validation loops - Failure reflection and learning • Define SOPs and system logic before building agents • Apply context engineering (ACE) so AI receives only what it needs — no more, no less • Convert non-binary business problems into binary, measurable questions • Ensure continuous improvement, performance tracking, and cost optimization • Act as the bridge between product vision and technical execution

• Diseño e implementación de soluciones impulsadas por IA para optimizar procesos de Backoffice. • Identificar, priorizar y ejecutar casos de uso de IA y automatización con impacto empresarial. • Desarrollar, desplegar y mantener modelos de IA, flujos de trabajo inteligentes y soluciones de automatización. • Integrar soluciones de IA con sistemas empresariales (ERP, CRM, ITSM, plataformas de datos). • Trabajar con fuentes de datos estructuradas y no estructuradas para habilitar insights impulsados por IA. • Asegurar que las soluciones de IA cumplan con los estándares de seguridad, privacidad y gobernanza. • Colaborar con interesados para traducir necesidades empresariales en soluciones técnicas. • Apoyar la adopción a través de documentación y mejores prácticas.

• Design and implement AI-driven solutions to optimize Backoffice processes • Identify, prioritize, and execute AI and automation use cases • Develop, deploy, and maintain AI models, intelligent workflows, and automation solutions • Integrate AI solutions with enterprise systems (ERP, CRM, ITSM, data platforms) • Work with structured and unstructured data sources to enable AI-driven insights • Ensure AI solutions comply with security, privacy, and governance standards • Partner with stakeholders to translate business needs into technical solutions