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# Ai Engineer

- **Company:** N26
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Information Engineering, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Data Logging, System Availability, Large Language Models, Multi-Agent Systems, Prompt Engineering, Kotlin, AI Platforms, Kubernetes, Machine Learning Operations, Api Design, GPT, Data Pipelines, Docker, Microservices
- **Published:** July 29, 2026
- **Apply:** https://www.buscojobs.com.es/ai-engineer-en-barcelona-ID-365090352

## About the Role

* Proven experience deploying ML/LLM-based applications in production
 * Backend engineering proficiency with Python and Kotlin; API design and microservices
 * Applied AI/MLOps experience with LLM frameworks, vector databases, prompt engineering, and RAG
 * Data engineering experience with data pipelines and feature stores
 * Cloud infrastructure knowledge (AWS) and experience with containerized services (Kubernetes, Docker)
 * Experience with model/LLM serving platforms (SageMaker, Bedrock, Vertex AI) is desirable
 * Outcome-driven mindset focused on delivering tangible business impact

## Description

Experteer Overview In this role, you will bridge AI prototypes and customer-facing features, transforming proven models into reliable, production-ready services.You'll work with Data Science, ML Engineering, and Platform teams to accelerate time-to-market for AI features.You'll design observability, metrics, and scalable architectures to support high-traffic deployments.This is a hands-on role focusing on RAG, autonomous agents, and multi-channel experiences to enhance the bank's conversational assistant.Join a cross-disciplinary team shaping the future of customer interactions at N26.Compensaciones / Beneficios* Drive rapid prototype-to-production transitions for AI/LLM features* Productionize AI services including LLM-powered features and autonomous agents in a high-traffic environment* Build observability, metrics, tracing, and logging for AI features; implement A/B testing for models/prompts* Architect data pipelines, APIs, and orchestration to support scalable AI services* Collaborate with Platform Engineering to design custom AI components (MCP servers, Agent interactions) and leverage foundational models* Implement advanced AI techniques (RAG, MCP, A2A) and refine deployment approaches* Contribute to discovery of new AI use cases by assessing constraints, data availability, and feasibility in production* Ensure reliable monitoring, logging, failure handling across the lifecycleResponsabilidades* Proven experience deploying ML/LLM-based applications in production* Backend engineering proficiency with Python and Kotlin; API design and microservices* Applied AI/MLOps experience with LLM frameworks, vector databases, prompt engineering, and RAG* Data engineering experience with data pipelines and feature stores* Cloud infrastructure knowledge (AWS) and experience with containerized services (Kubernetes, Docker)* Experience with model/LLM serving platforms (SageMaker, Bedrock, Vertex AI) is desirable* Outcome-driven mindset focused on delivering tangible business impactRequisitos principales* competitive personal development budget* work from home budget* discounts for fitness u**** wellness* language apps* public transportation subsidies* premium N26 bank account subscriptions for you and family


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