AI Engineer at N26

✨ The Stack take on this N26 job

• 🏢 N26 has 139 jobs here, 136 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask N26 if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Productionize LLM prototypes and AI/agent prototypes into scalable, low-latency services for customer-facing channels.
- Build observability, evaluation, and A/B testing frameworks to measure model output quality and iterate on prompts/models.
- Design and implement data pipelines, orchestration, and APIs to support high-traffic AI features with proper monitoring and failure handling.
- Collaborate with Data Science, ML Engineering, Platform and Product teams to move validated models quickly into production.
- Implement custom application logic around foundational models (e.g., MCP servers, agents) and integrate with managed model platforms (Bedrock/SageMaker/Vertex).

Requirements:
- Proven experience deploying LLM-based applications or AI services to production, with strong focus on reliability and scalability.
- T-shaped skillset: backend engineering (Python and/or Kotlin), applied AI/MLOps, and data engineering understanding.
- Familiarity with cloud platforms (AWS/GCP), containerization (Kubernetes/Docker), and microservice APIs.
- Strong observability/testing skills (metrics, tracing, logging) and experience with RAG, vector DBs, or prompt engineering.
- Ability to work cross-functionally and deliver fast time-to-market while maintaining production standards.

Responsibilities

The AI Engineer will productionize LLM prototypes and intelligent agents into a high-traffic banking environment. They are responsible for building observability systems, designing scalable AI architecture, and implementing advanced techniques like RAG and MCP.

Requirements

Requires a T-shaped skillset blending backend engineering (Python, Kotlin), applied AI/MLOps, and data engineering. Candidates must have proven experience deploying LLM-based applications in production and familiarity with AWS cloud infrastructure.

Key skills

• Python — in 1200 other listings on The Stack
• Kotlin — in 251 other listings on The Stack
• LLM Frameworks — in 5 other listings on The Stack
• Vector Databases — in 13 other listings on The Stack
• RAG — in 41 other listings on The Stack
• MLOps — in 72 other listings on The Stack
• AWS — in 802 other listings on The Stack
• Kubernetes — in 585 other listings on The Stack
• Docker
• API Design
• Microservices Architecture
• Prompt Engineering
• Data Pipelines
• SageMaker
• Bedrock
• Vertex AI

On The Stack (as of 2026-11-05)

• N26 has 138 other listings on The Stack, 135 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 18 visa-sponsored ai engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about N26

Is this AI Engineer role still open?

It was posted on 2026-07-21. Listings more than 30 days old may no longer be active, so check N26's site before applying.

Does N26 offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on N26's site.

Where is this role located?

The listing gives the location as Spain. It is marked on-site.

What skills does this role ask for?

The listing names: Python, Kotlin, LLM Frameworks, Vector Databases, RAG, MLOps, AWS, Kubernetes, Docker, API Design, Microservices Architecture, Prompt Engineering, Data Pipelines, SageMaker, Bedrock, Vertex AI.