• Liderar técnicamente a los equipos con visión de negocio • Diseñar, mantener y evolucionar la arquitectura de microservicios reactivos en la nube (AWS) • Impulsar mejoras continuas y acompañar la evolución de la plataforma • Colaborar con áreas de negocio para traducir requerimientos comerciales • Garantizar la resiliencia y rendimiento del sistema • Aportar visión técnica en Backend (Scala/Kotlin) y Frontend (React)

• Design and develop full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL, and AWS • Integrate AI models and APIs for tasks like document processing, data extraction, recommendation engines etc. • Work closely with Sr. Engineers experienced in AI to seamlessly integrate models into production • Research and prototype new AI applications to continuously enhance our product capabilities • Construct scalable, secure, and observable cloud architectures for our core AI services • Implement robust data pipelines to fuel AI model training and inference • Craft seamless user experiences that surface AI-powered functionality • Participate in architecture planning, code reviews, and ideation sessions • Take ownership of feature development end-to-end (once ramped up), coordinating with QA and other teams • Engage in cross-team communication to help unblock dependencies and improve release flow • Share ideas during quarterly planning to help shape what we build next • Participate in company-wide initiatives such as hackathons, engineering guilds, and AI tooling experiments

• Develop full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL and AWS • Integrate AI models and APIs for tasks like document processing, data extraction, recommendation engines etc. • Work closely with Sr. Engineers experienced in AI to seamlessly integrate models into production • Stay current on emerging AI technologies/frameworks and explore new applications • Build scalable, reliable backend services to fuel our AI workflows • Create intuitive user experiences that surface AI-powered capabilities • Participate in architecture planning, code reviews, and ideation sessions • Take ownership of feature development end-to-end (once ramped up), coordinating with QA and other teams • Engage in cross-team communication to help unblock dependencies and improve release flow • Share ideas during quarterly planning to help shape what we build next • Participate in company-wide initiatives such as hackathons, engineering guilds, and AI tooling experiments

• Design, implement, and own scalable, high-performance software libraries, features and services across the stack. • Contribute to software architecture and technical design across multiple components and frameworks, with an emphasis on robustness, flexibility, and long-term maintainability. • Help define projects and execution plans by clarifying scope, identifying dependencies and tradeoffs, and translating broad goals into actionable technical work. • Provide technical leadership to a team or multi-functional group by guiding implementation, reviewing design and code, and helping drive progress against timeline and strategy. • Operate effectively in ambiguous spaces, making sound technical decisions and moving work forward with a high degree of autonomy when needed. • Build and iterate on AI-assisted development workflows, including code generation, refactoring, CI/CD automation, and practical use of coding agents in real engineering environments. • Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows and, where relevant, extend platforms such as Isaac or ROS. • Contribute to strong engineering practices around testing, code review, documentation, observability, reliability, and operational quality.