About the Role
The Investigations team is on a mission to empower our financial crime investigators to work more efficiently and effectively by building tools that help them analyze complex cases, uncover suspicious activity, and protect our customers. We are making a strategic investment in AI to automate the core of the investigative process.
We're looking for a pioneering AI Engineer to join our team, serving as the critical productionizing partner for our Data Science (DS) and central AI teams. 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, and speed, ensuring our AI solutions move swiftly and reliably from a proof-of-concept to a production-ready, highly monitored service that directly reduces investigation handling time. This role requires a unique T-shaped skillset blending Data Engineering, Applied AI, and Backend expertise.
What You'll Do
- Drive Fast Time-to-Market (TTM): Work collaboratively with the Data Science team 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 (metrics, tracing, logging) for all deployed AI features. Design and execute a framework for measuring output quality, A/B testing different models/prompts, and iterating on performance in real-time.
- Architect for Reliability and Scale: Design and implement the technical architecture, data pipelines, and orchestration systems necessary to support AI services. Focus on building highly available, low-latency APIs and ensuring proper monitoring, logging, and failure handling across the entire lifecycle.
- Design and Deploy Custom AI Services: Collaborate with the Platform Engineering team on leveraging foundational models (like those from AWS Bedrock/Anthropic) managed by them. Your focus will be on designing, building, and deploying the surrounding application logic and custom components, such as Multi-step Control Program (MCP) servers, that interact with those foundational models.
- Apply Advanced AI Techniques: Directly implement and optimize advanced Applied AI techniques, such as Retrieval-Augmented Generation (RAG), Multi-step Control Programs (MCP), Agent-to-Agent (A2A) flows, and fine-tuning methodologies.
- Contribute to Discovery: Leverage your deep understanding of system constraints, data availability, and production feasibility to proactively identify and recommend new AI use cases, working closely with Product and Data Science.
Who we are
N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.
We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.
What’s in it for you:
- Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
- Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
- Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.
- As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
- Additional day of annual leave for each year of service.
- A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.
- A relocation package with visa support for those who need it.
What You'll Bring
- Experience: Proven experience building, deploying, and maintaining machine learning or LLM-based applications in a production environment.
- Hybrid Technical Skills: A strong blend of experience across the required disciplines:
- Backend Engineering: Proficiency in developing scalable, reliable backend services (mainly Python, Kotlin) with a focus on API design and microservices architecture.
- Applied AI Engineering & MLOps: Hands-on experience with LLM frameworks, vector databases, MLOps tooling, prompt engineering, and successfully implementing advanced techniques like RAG. Demonstrated ability to manage models and prompt updates safely.
- Data Engineering: Familiarity with building robust data pipelines, managing feature stores, and ensuring data quality for model consumption.
- Infrastructure Expertise: Experience with cloud environments (specifically AWS) and deploying scalable containerized services (e.g., Kubernetes, Docker). Experience with model/LLM serving platforms (e.g., SageMaker, Bedrock, Vertex AI) is highly desirable.
- A Focus on Outcome: A passion for moving fast and achieving tangible business outcomes (like reducing investigation time) by turning complex technical ideas into reliable, high-impact product features.
