• Partner closely with product managers and subject matter experts to deeply understand the review process, user needs and pain points, and translate them into technical solutions. • Design and implement AI-powered system components, including building data ingestion pipelines, implementing retrieval systems to surface relevant content, designing prompt workflows, and coordinating multi-step interactions between LLMs and external tools. • Build internal tools and interfaces that enable users to interact with AI-generated outputs, including reviewing evidence, refining results, and contributing to final output. • Develop and optimize data pipelines and storage systems to support large, multi-modal curriculum datasets (e.g., long-form PDFs, web content, and embedded media), including metadata tagging and efficient retrieval. • Define and implement evaluation approaches (e.g., human-in-the-loop review, benchmarking, and output validation) to assess the quality, accuracy, and bias of AI-generated outputs. • Rapidly prototype and iterate on AI-driven features, balancing experimentation with production-grade engineering. • Develop and maintain systems, ensuring robust performance and adherence to web accessibility standards, security best practices, data privacy standards, and ethical technology use, especially when exploring AI applications. • Contribute high-quality, maintainable code, including documentation, to ensure code quality across the organization’s systems. • Provide strategic technical recommendations to leadership, aligning innovations with organizational goals. • Contribute to evolving team priorities and organizational needs, adapting approaches while maintaining clear ownership of outcomes and responsibilities.

• Develop and enhance features with a strong focus on automated testing, monitoring, and quality. • Actively contribute to architectural decisions, supporting a distributed, flexible, and scalable architecture. • Assist in defining the technical solution and software architecture for projects. • Ensure the execution of the development process stages. • Monitor and accompany deployments in the production environment. • Act as an ambassador for an agile mindset within the team.

• Desenvolvimento de novas funcionalidades e manutenção corretiva, considerando aspectos de qualidade de software como testes unitários e monitoramento da aplicação; • Contribuir com as decisões de arquitetura da aplicação, buscando uma arquitetura distribuída, flexível, moderna e escalável que acompanhe o crescimento constante; • Apoiar a construção da solução técnica e da arquitetura de software do projeto; • Garantir a execução das etapas no processo de desenvolvimento de software; • Acompanhar deploy em ambiente de produção; • Ser agente replicador da mentalidade ágil no time.

• Develop and enhance critical features, with a strong focus on testing, monitoring, and software quality; • Actively contribute to architectural decisions, helping to maintain a distributed, scalable architecture prepared for growth; • Support the definition of technical solutions and project architecture; • Work across the entire development cycle: from conception to production deployment; • Serve as a technical point of reference within the team and as an advocate for agile culture.