Principal AI Engineer - Conversational Banking - N26

Key Responsibilities

• Architect and implement end‑to‑end conversational AI platforms for banking services, ensuring high availability and low latency.
• Lead a multidisciplinary team of data scientists, ML engineers, and software developers, providing technical mentorship and fostering best practices.
• Design, train, and optimize large‑scale NLP models (e.g., transformer‑based) for intent detection, dialogue management, and response generation.
• Integrate AI solutions with core banking APIs, micro‑services, and front‑end channels while maintaining security and compliance standards.
• Drive continuous improvement through A/B testing, monitoring, and performance tuning in production environments.

Requirements

• 5+ years of hands‑on experience building and deploying production‑grade machine‑learning systems, preferably in fintech or banking.
• Deep expertise in Python, TensorFlow or PyTorch, and modern NLP techniques (transformers, BERT, GPT‑style models).
• Strong background in cloud platforms (AWS) and container orchestration (Kubernetes/Docker) for scalable AI services.
• Proven ability to translate business requirements into robust AI architectures and to lead technical teams.
• Excellent problem‑solving skills, with a focus on reliability, security, and operational excellence.