Backend Engineer (AI)

TL;DR

Backend Engineer (AI Integration) (AI/Fintech): Engineering and integrating AI capabilities into the software delivery toolchain with an accent on secure, scalable delivery and automation. Focus on prototyping LLM-based and RAG pipelines, developing AI-driven APIs, and enhancing developer productivity platforms.

Location: Madrid

Company

A leading global wealth management firm focused on creating value beyond wealth through innovation and entrepreneurship.

What you will do

• Own the engineering and integration layer of AI capabilities into the software delivery toolchain to ensure secure and scalable delivery.
• Prototype and validate Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) pipelines to drive business value.
• Develop and maintain APIs, pipelines, and service integrations for AI features within CI/CD and observability platforms.
• Collaborate with AI Product Engineers and platform teams to scope opportunities for AI-driven innovation.
• Contribute to automation efforts across developer productivity platforms to enhance overall efficiency.
• Ensure traceability, logging, and compliance of all integrated solutions according to enterprise security standards.

Requirements

• 3-5 years of experience as a software engineer or DevOps/MLOps specialist with a background in AI integration.
• Strong knowledge of CI/CD pipelines, cloud environments, containerization (Docker, K8s), and APIs.
• Experience integrating Machine Learning (ML) and Generative AI components into production systems.
• Familiarity with enterprise security standards and data protection compliance.
• Bachelor's or Master's degree in Computer Science or a related field.
• English: Very good level required

Culture & Benefits

• Entrepreneurial and empowered work environment that values individual qualities.
• Collaborative culture working within agile, cross-functional teams.
• Opportunity to shape the future of wealth management through AI innovation.
• Professional growth focused on high-impact engineering and automation challenges.