Darum lohnt es sich
Key Responsibilities Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services.
About the Role
We are making a strategic investment in Artificial Intelligence and Generative AI to redefine how customers interact with N26. We are looking for a Principal AI Engineer to architect the next generation of intelligent, multi-channel conversational ecosystems and automated backend intelligence.
Productionize Complex AI Prototypes: Act as the primary technical bridge transforming data science prototypes into customer-facing features. Design Advanced AI & Agentic Frameworks: Build and optimize application logic surrounding foundational models (leveraging AWS Bedrock and Anthropic).
Directly implement advanced techniques, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) servers, and Agent-to-Agent (A2A) orchestration. Establish Observability & Evaluation Standards: Implement logging, tracing, and metrics frameworks tailored for LLM outputs.
Design and execute real-time evaluation frameworks to measure output quality, manage prompt updates safely, and run A/B tests across different models. Cross-Functional Mentorship: Leverage deep system expertise to identify and recommend new AI use cases based on production feasibili
