AI Engineer

About the opportunity The Virtual Assistant team is on a mission to redefine how N26 customers interact with their bank. We believe the future of banking is conversational, and we are currently making a strategic investment in Generative AI to rethink our entire ecosystem. We aren’t just looking for someone to maintain chatbots; we want a Mid-Level AI Engineer who is ready to build the next generation of intelligent, multi-channel experiences. As part of this team, you’ll help us bridge the gap between complex banking needs and seamless, human-like automation. If you’re passionate about moving beyond traditional flows and into the world of LLMs, RAG, and truly autonomous agents, we want to talk to you. Your core mission is delivery, optimized for velocity and reliability: taking proven AI/ML models, LLM prototypes, and intelligent agents and integrating them directly into our product infrastructure. You will be obsessed with scalability, observability/evaluations, and speed, ensuring our AI solutions move swiftly and reliably from a proof-of-concept to a production-ready, highly monitored service that directly levels up the conversation experience of our customers. This role requires a unique T-shaped skillset blending Data Engineering, Applied AI, and Backend engineering understanding. In this role, you will: Drive Fast Time-to-Market (TTM): Work collaboratively with relevant stakeholders (Data Science, Machine Learning Engineering, etc.) to iterate quickly on prototypes, ensuring a seamless and rapid transition of validated models and LLM applications into the production environment. Productionize AI/LLM Prototypes: Act as the primary link between the DS/AI team's prototypes and the customer-facing product. You will refactor, deploy, and maintain robust, performant AI services (including LLM-powered features and intelligent agents) in a high-traffic production environment. Build Observability and Measurement Systems: Implement comprehensive observability solutions