The Opportunity: Flywire is seeking a versatile AI Enginee r 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. Minimum Qualification Criteria: Backend Development Expertise: Strong experience in backend development of microservices. Proficiency in Python is strongly preferred. Cloud Platforms: Hands-on experience with cloud platforms like AWS, particularly with services like RDS and Redis. Experience with Amazon Bedrock is a plus. CI/CD Pipelines: Experience with continuous integration and continuous deployment (CI/CD) pipelines for both backend services and AI/ML models. ML Ops Knowledge: Experience in deploying and managing AI/ML models in production, ensuring their scalability and performance. Preferred Criteria: AI Experience and Interest : Experience with generative AI, large language models (LLMs), or advanced NLP systems, and a strong desire to learn and stay at the forefront of AI innovation. Experience with Full-Stack Development: Exposure to front-end development or full-stack experience is a plus, especially involving integration of AI models into customer-facing products Experience in Finance or Payments: Background in international finance, the payments space, or other highly regulated environments is an advantage, particularly in scaling backend systems. What We Offer: Competitive compensation, including Restricted Stock Units Employee Stock Purchase Plan (ESPP) Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams) Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media Dynamic & Global Team (we have been collaborating virtually for years!) Wellbeing Programs (Mental Health, Wellness, Yoga/Pilates/HIIT Classes) with Global FlyMates Be a meaningful part in our success - every FlyMate makes an impact Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days! Great Talent & Development Programs (Managers Taking Flight – for new or aspiring managers!)