• Complete Flatiron School’s Software Engineering (full-time) and AI & Data Science (part-time) bootcamp programs • Contribute to real software projects during a paid apprenticeship with an employer partner • Collaborate in sprint-based workflows and participate in code reviews • Build a portfolio of production-level work • Receive mentorship from experienced engineers and product leaders

• Attend and complete the part-time Data Science & AI Bootcamp as part of the apprenticeship • Contribute to software projects for your host company • Write clean, maintainable and testable code using modern frameworks and tools • Collaborate in sprint-based workflows and participate in code reviews • Support feature development, debugging, documentation, and QA processes • Build your portfolio of production-level work while growing your technical and collaborative skills • Receive ongoing mentorship from senior developers and product leaders

• Develop and maintain fullstack applications using Node.js, TypeScript and Vue.js, ensuring clean, reusable, high-quality code. • Design and implement robust, scalable APIs following REST standards and good architectural practices. • Work on modeling, development and optimization of PostgreSQL databases, ensuring data integrity and performance. • Actively participate in technical and architectural definition of solutions, contributing to technology decisions and system design. • Build modern, responsive, and highly usable user interfaces using Vue.js. • Integrate applications with AWS cloud services (such as EC2, S3, RDS, Lambda, among others), ensuring scalability and resilience. • Apply development best practices, including automated testing, code versioning (Git) and code reviews. • Identify and resolve technical issues, bugs and performance improvements. • Collaborate with product, design and other technology teams to ensure alignment and quality of deliveries. • Contribute to the continuous growth of the team by sharing knowledge and supporting less experienced developers. • Participate in agile ceremonies (Scrum/Kanban), ensuring organization and predictability of deliveries.

• Own features end-to-end: define the problem, shape the solution, ship it, validate it works • Architect server-side systems with a strong focus on performance, correctness, and operational simplicity • Write behaviour specs before implementation — define what "done" looks like in machine-verifiable terms before generating a line of code • Lead design and code reviews that raise the technical bar across the team • Identify and drive improvements to team processes, tooling, and engineering practices • Conduct root cause analysis on complex production issues — go deep, fix the right thing