Flywire is seeking to scale its AI-driven solutions and infrastructure by bridging the gap between backend systems and advanced AI models.
Requirements
- 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.
- 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.
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.
Other
- Bachelor's degree in Computer Science or related field (not explicitly mentioned but implied)
- Ability to work in a small team environment and collaborate with cross-functional teams
- Strong communication and problem-solving skills (not explicitly mentioned but implied)
- Ability to thrive in a fast-paced and dynamic environment (not explicitly mentioned but implied)
- None mentioned for travel, clearance, or visa requirements
