• Build, maintain and scale platform-level back-end services to enhance and serve our core products. • Leverage these capabilities to build and ship new features within the core Arbor product suite. • Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products. • Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards. • Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge. • Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable. • Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies. • Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication. • Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests. • Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time, demonstrating a comprehensive understanding of the development lifecycle and processes. • Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction. • Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices, fostering knowledge transfer within the team. • Actively lead and participate in tech talks, workshops, and team-based learning initiatives.

• Projetar, desenvolver e operar aplicações transacionais baseadas em IA Generativa e LLMs • Desenvolver APIs REST em Python seguindo arquitetura de microsserviços • Construir pipelines de inferência e integrar modelos de Machine Learning e LLMs utilizando LangChain e LangGraph • Implementar soluções de RAG (Retrieval-Augmented Generation) integradas a fontes de dados corporativas • Manipular e processar dados utilizando Pandas e NumPy • Garantir qualidade de código através de Clean Code, princípios SOLID e testes automatizados (unitários e integração) • Implementar observabilidade ponta a ponta utilizando logs, métricas e tracing com Prometheus, Grafana e Datadog • Manter e evoluir pipelines CI/CD utilizando GitHub • Atuar na construção e sustentação de ambientes em AWS utilizando infraestrutura como código (Terraform) • Trabalhar com containers e orquestração utilizando Docker e Kubernetes

• Full Stack Architecture: Build a clean, scalable application deployable both as SaaS and On-Premise, using TypeScript and Python. You will design complex visualization flows, advanced logging capacities and agent configuration. • Architectural Evolution: Refine the software architecture to handle the integrations with the AI team at Filigran. • Rapid Prototyping: Iterate fast to test concepts, being comfortable with refactoring or deleting code as the product vision evolves based on user feedback. • Community Management: Engage with the Open Source community (GitHub, Slack), answering user questions. • Team Structuring: Participate in the creation of development processes and team culture as one of the first hires in this new squad.

• Review business requirements and validate technical solutions. • Contribute to implementation planning. • Develop integration services with external providers and public systems. • Implement fiscalization and electronic invoicing functionality. • Deliver production-ready solutions. • Maintain service stability through monitoring, logging, and incident response. • Collaborate on regulatory services. • Independently deliver integration tasks after onboarding.