AI Engineer | DevOps/MLOps | Madrid

UST

Madrid

Híbrido

EUR 60.000 - 85.000

Jornada completa

hace 30 horas
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Ventajas ofrecidas por este puesto de trabajo

Annual leave and discretionary days
Health care plan
Teleworking compensation
Life and accident insurances
Flexible compensation program
Training platforms access
Career stability and plans
Referral bonus
Hybrid/WFH policy
Discount programs

Descripción de la vacante

UST in Madrid is seeking an AI Engineer with a strong software engineering and DevOps/MLOps background to join an innovative project for a leading global wealth management client.

Hybrid in Madrid city center (Sol area), 3 days a week in the office. English is a must, Spanish desirable. You will drive AI capability delivery, automation, and scalable, secure AI solutions across enterprise platforms.

Formación

  • 3-5 years of experience as a software engineer or DevOps/MLOps specialist.
  • Strong knowledge of CI/CD pipelines and cloud environments.
  • Experience integrating ML and Generative AI components into production systems.
  • Security-conscious with enterprise standards for tooling and data protection.
  • Comfortable in agile, cross-functional teams with strong collaboration skills.
  • Master or Bachelor in Computer Science or related field, or proven relevant experience.
  • Very good English level.

Responsabilidades

  • Own AI capabilities integration into the software delivery toolchain with secure, scalable automation.
  • Collaborate with AI Product Engineers and platform teams to scope AI-driven opportunities.
  • Prototype and validate LLM-based or RAG pipelines to drive business value.
  • Contribute to AI-driven automation across developer productivity platforms.
  • Develop and maintain APIs, pipelines and service integrations for AI features.
  • Ensure traceability, logging and compliance of integrated solutions.
  • Promote best practices for automation, monitoring and reproducibility.

Conocimientos

Generative AI
MLOps
Kubernetes
RAG

Educación

Master or Bachelor in Computer Science or related

Herramientas

Docker
Kubernetes
APIs

Descripción del empleo

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 global 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 reproducibility, promoting a culture of continuous improvement.
YOUR PROFILE
  • 3-5 years of experience as a software engineer or DevOps/MLOps specialist, with a strong background in AI integration and automation.
  • Strong knowledge of Corporate Identity (CI)/Corporate Design (CD) pipelines, cloud environments, containerization (Docker/K8s), and APIs.
  • Experience integrating Machine Learning (ML) and Generative AI components into production systems, with a focus on scalability, security, and maintainability.
  • Security-aware and familiar with enterprise standards for tooling, ensuring the highest levels of data protection and compliance.
  • Comfortable working in agile and cross-functional teams, with excellent communication and collaboration skills.
  • Master or Bachelor in Computer Science or a related area, or proven relevant working experience.
  • Very good English level.
What can we offer?
  • 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
  • Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
  • Retribución Flexible Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…)
  • Free access to several training platforms
  • Professional stability and career plans
  • UST also, compensates referrals from which you could benefit when you refer professionals.
  • The option to pick between 12 or 14 payments along the year.
  • Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)
  • UST Club Platform discounts and gym Access discounts

In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

Skills

Generative AI, MLOps, Kubernetes, RAG

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