AI Engineer | DevOps/MLOps | Madrid

AI Engineer | DevOps/MLOps | Madrid

08 sep
|
Ust
|
Madrid

08 sep

Ust

Madrid

Role Description

We are looking for the very Top Talent…and we would be delighted if you were to join our team

More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35.000 employees all over the world and presence in more than 30 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

What are we looking for?

We are looking for an AI Engineer with a strong software engineering and DevOps/MLOps background to join an innovative project for a leading general wealth management client. The ideal candidate will be passionate about integrating AI capabilities into enterprise platforms, driving automation, and building scalable, secure, and production-ready AI solutions within a highly collaborative environment.

Location: Hybrid. Madrid city center (Sol area). 3 days a week in the office.

Language: English is a must. Spanish desirable.

Responsibilities

Own the engineering and integration layer of AI capabilities into the software delivery toolchain,



ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams.
Collaborate closely with AI Product Engineers and platform teams to define and scope opportunities for AI-driven innovation.
Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value.
Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness.
Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as Corporate Identity (CI)/Corporate Design (CD), observability, and developer workplace.
Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices.
Drive best practices for automation, monitoring, and reproducibi

📌 AI Engineer | DevOps/MLOps | Madrid
🏢 Ust
📍 Madrid

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