• Build and maintain backend services and APIs in Python, using AI-assisted development and automation as a standard part of the workflow • Own features end-to-end, from design through production, with accountability for quality, performance, and maintainability • Actively drive AI adoption within the engineering team by introducing, refining, and scaling AI-driven workflows across the development lifecycle • Identify opportunities where AI can reduce manual effort, improve code quality, accelerate delivery, or improve operational reliability • Develop and support single-page applications using Vue • Work closely with engineers in small, cross-functional feature teams • Collaborate with Product Managers and other teams to deliver measurable business value • Partner with your Engineering Manager to support technical growth, mentorship, and career development • Support other tasks or projects as assigned to meet team and business needs

• Ship features and customer-facing enhancements across the full stack, working from product specs and customer feedback. • Investigate and fix customer-reported bugs in your area of the product — performance regressions, edge cases, integration breakage — with the self-sufficiency to dive into unfamiliar code and deliver a fix. • Use AI-assisted development tooling (Claude Code, Cursor, etc.) as a first-class part of the dev loop — including writing tests and evals for AI-generated changes, and exercising judgment about when AI output is shippable. • Contribute to monolith decomposition and modernization as touch points emerge in your work. • Implement and maintain modern automated testing — unit, integration, and AI-component evals. • Collaborate with cross-functional teams to define, design, and ship; coordinate deployments and incident response with peers. • Advocate for incremental delivery and contribute to the engineering culture that surrounds you.

• 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