• Como Software Engineer, você construirá soluções com visão de longo prazo e qualidade, em um time que tem a responsabilidade de: projetar, desenvolver, testar, implantar, manter e melhorar o software.

• 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