This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Alvys is building the operating system for modern freight with a multi-tenant SaaS platform that streamlines day-to-day transportation operations. As a Senior Product Engineer , you will be a senior individual contributor who owns meaningful product areas end-to-end: - Shaping what we build - How we build it - Whether it worked for customers This role is designed for engineers who want to sit at the intersection of engineering execution, product judgment, and operational ownership, and who are excited to build with AI as a first-class part of the workflow. We are moving quickly toward an AI-first operating model across the company. On the engineering side, we have shifted from a traditional model with many handoffs to a product engineering model where engineers are accountable for outcomes and leverage AI to accelerate delivery. As a Senior Product Engineer , you will use AI to: - Move faster while keeping quality high - Be accountable for outcomes - Utilize AI tools for implementation, debugging, and test generation - Review and harden AI-generated code with strong engineering judgment - Iterate quickly with customer feedback and production signal - Contribute to evolving team practices as the AI toolchain changes In this role, “senior” is measured by impact , which includes: - Owning customer and business outcomes - Influencing product direction through strong problem framing and tradeoffs - Shipping and operating production systems with a reliability mindset Qualifications - 5+ years of professional software engineering experience, with ownership of production systems - Strong proficiency in at least one modern programming language (C#, TypeScript, Java/Kotlin, etc.) - Full-stack capability: comfortable working end-to-end (API → data → UI) - Experience building and operating production software, including debugging, monitoring/alerting, and performance tuning - Experience with data stores in production (relational and/or NoSQL) - Experience with at least one major cloud provider (Azure, AWS, or GCP) - Strong collaboration and communication skills with cross-functional partners (Product, Design, and operations stakeholders) Requirements - AI-first product engineering experience: actively used AI to ship product faster - Championing AI adoption: experience introducing AI tooling to a team - Strong React proficiency: experience building complex, data-heavy UIs in React and TypeScript - Design systems experience: building or operating within a design system - Experience building and operating large-scale systems, focusing on reliability, performance, and cost - Experience with observability and operational rigor (dashboards, alerting, incident response) - Experience with .NET/C#, CosmosDB, Postgres, Elastic Search, and modern web APIs - Experience mentoring engineers and raising engineering quality through design reviews and code reviews - Experience in logistics or transportation software is a plus Benefits - Revolutionizing transportation logistics - Balancing innovation with sustainability - Fostering a culture of reliability and performance Company Description Alvys is on a mission to revolutionize transportation logistics. We are evolving from a delivery organization into a product engineering organization —one that blends technical excellence with deep product context and financial accountability. - We measure success by impact, not output - We think like operators, not just builders

• Build and launch AI-powered landing pages, websites, and web applications. • Utilize modern AI development tools to accelerate product development and iteration. • Design and develop internal software tools that improve team productivity and operational efficiency. • Collaborate with internal teams to understand business needs and translate them into functional digital solutions. • Prototype, test, and iterate quickly on new features and tools. • Integrate APIs, automation tools, and AI models into existing systems. • Maintain and improve the performance, usability, and scalability of applications. • Contribute to rapid experimentation and innovation across the agency’s digital products.

• Lead and scale the AI, ML, and LLM engineering teams, fostering innovation, technical excellence, and high performance • Define and execute the AI and advanced analytics roadmap, from ideation through production deployment • Drive the implementation of state-of-the-art technologies, including generative AI, automation, and intelligent systems • Partner with engineering, IT, and business leaders to embed AI-driven solutions into core engineering and operational processes • Lead organizational efficiency initiatives, including process optimization, automation, and productivity improvement programs • Identify opportunities to improve engineering efficiency, quality, and speed through technology and data-driven insights • Establish best practices for AI governance, scalability, security, and ethical use • Manage budgets, vendors, and technology partners related to AI and digital transformation • Mentor and develop technical leaders and teams, building a strong innovation culture

- Interpretar documentação e descrição de tarefas. - Entender e apoiar nas atividades de elaboração de soluções. - Escrever códigos seguindo as boas práticas de programação definidos pela empresa. - Desenvolver softwares com conceitos básicos de orientação a objetos, aplicando técnicas de engenharia de software. - Implementar componentes/interfaces gráficas seguindo modelos definidos. - Escrever e aplicar testes unitários automatizados e de integração e aceitação. - Utilizar repositório de código para controle de versão. - Compreender requisitos funcionais e não funcionais associados ao sistema em desenvolvimento. - Participar de reuniões com stakeholders internos e externos (clientes) - Desenvolvimento de pequenos módulos ou funcionalidades. - Colaboração com outros membros da equipe. - Aprendizado contínuo e aprimoramento das habilidades.