AI Engineer

The Opportunity:Flywire is seeking a versatile AI Engineer with strong backend development skills to scale our AI-driven solutions and infrastructure. As an AI Engineer, you’ll join a small, but high-impact team where creativity, resourcefulness, and a willingness to wear many hats are essential. In this role, you'll bridge the gap between backend systems and advanced AI models, ensuring models are robustly deployed, integrated, and monitored throughout our products. You’ll collaborate closely with data scientists, software engineers, and DevOps to bring AI initiatives from prototype to production in a secure, scalable, and reliable way.This role blends backend engineering with AI/ML expertise and is ideal for someone passionate about building world-class AI-powered products at scale.Key responsibilities:AI Solution Engineering: Design, implement, and optimize robust systems for deploying and serving AI/ML models (including LLMs and generative AI) across Flywire’s services.Backend & API Development: Build and maintain APIs (RESTful, real-time, and/or event-based) and backend services and infrastructure for integrating AI/ML into our products.Model Deployment & Lifecycle Management: Collaborate with data scientists to deploy, monitor, and manage models in production, including versioning, testing, scaling, and retraining.Cloud & Infrastructure/MLOps: Manage cloud environments (primarily AWS), databases, and develop CI/CD pipelines for robust, scalable AI applications, including monitoring and automation.System Monitoring & Optimization: Implement monitoring, logging, and health tracking for models and supporting infrastructure to ensure availability, reliability, and performance.Cross-functional Collaboration: Work with engineers, product managers, and data teams to scope, build, and refine features powered by AI, ensuring alignment with business needs.Adaptability & Proactiveness: Thrive in a small team environment by pitching in wherever needed, whether that means wrangling data, optimizing an API, debugging infrastructure, or brainstorming with stakeholders.