3 Python Engineer AI jobs

As part of the Platform tribe, you will help build a self-service, AI-Ready Data Platform. The Data Platform team supports our next big bets: Data, AI, and real-time analytics. We are a team focused on building scalable, reliable infrastructure to enable our global data community. What You’ll Do Build and maintain best-in-class data infrastructure for critical processes. Develop features that strengthen self-service, including for ETL and orchestration. Optimise processes to use compute more efficiently and reduce cost. Automate operations so the platform stays highly available. Contribute to the design and implementation of new services. You’ll be a strong fit if you Have experience with infrastructure as code and containerisation (e.g. Terraform, Helm, Docker, Kubernetes). Have used modern query engines (e.g. Snowflake, Databricks, BigQuery, Trino). Have worked with modern data orchestration tools (e.g. Airflow, Dagster). Are proficient in at least one of our...

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,...

Summary We are seeking an organised and self-motivated Data Analyst to work embedded in our Everyday Banking team, to help shape the development of one of the world's leading FinTech products. About The Opportunity As a Data Analyst (Product) you will enable our product and business segments (Cards, Payments in the Everyday Banking domain to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product teams’ initiatives, as well as help drive the strategy of your business segment. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, designers, and product managers. In This Role, You Will Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities. Handle stakeholders: Be an internal...