AI Engineer | DevOps/MLOps | Madrid, hibrido (España)

AI Engineer | DevOps/MLOps | Madrid, hibrido (España)

10 sep
|
Ust
|
España

10 sep

Ust

España

AI Engineer | DevOps/MLOps | Madrid
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 global wealth management client. The adecuado 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 automatio

📌 AI Engineer | DevOps/MLOps | Madrid, hibrido (España)
🏢 Ust
📍 España

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