3 ai engineer jobs

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,...

Our mission is to enable everyone to build wealth. We reinvent how trading and investing work by creating exceptional products people love. Fostering a culture of excellence and high velocity is the key to our success. Today, we serve over 6 million clients, with more than €38 billion in assets under management - a testament to the scale and trust we’ve built in just a few years Our platform is powered by a modern, high-performance engineering stack designed for scale and reliability: Java 21 (Spring), PostgreSQL, MariaDB, Redis, Kafka, ClickHouse, Elasticsearch, Docker, Grafana, AWS, k8s, Kibana. You'll join the team building Trading 212's AI Financial Assistant - giving everyday traders the tools and insights to trade at a professional level. This means working at the intersection of cutting-edge AI, real-time market data. The scale is real, the data is rich, and the engineering challenges are the kind that don't have easy answers. We offer remote or hybrid working,...

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...