AI Engineer | DevOps/MLOps | Madrid

Tamarind Intelligence; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health care plan

Teleworking compensation

Life and accident insurances

Discretionary leave days

Descripción de la vacante

UST is seeking an AI Engineer with a strong software engineering and DevOps/MLOps background to join a global project for a leading wealth management client. Hybrid work in Madrid, 3 days in office; English required, Spanish desirable.

You will lead AI integrations, build scalable AI solutions, and ensure security and observability across platforms while collaborating with cross-functional teams in a fast-paced environment.

Formación

• Hands-on experience integrating Machine Learning and Generative AI into production systems.
• Strong knowledge of cloud platforms, containers, and APIs.
• Experience building or supporting LLM, RAG, and AI-powered automation solutions.

Responsabilidades

• Lead the integration of AI capabilities into enterprise software delivery platforms.
• Collaborate with AI Product Engineers and platform teams to deliver high-impact AI use cases.
• Design, prototype, and deploy LLM-based and Retrieval-Augmented Generation solutions.

Conocimientos

AI/ML experience

DevOps

Cloud platforms

APIs

Software engineering

Educación

Bachelor's or Master's in Computer Science or related field

Herramientas

Docker

Kubernetes

Descripción del empleo

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.

What You'll Do

• Lead the integration of AI capabilities into enterprise software delivery platforms, ensuring secure, scalable, and reliable implementations.
• Collaborate with AI Product Engineers and platform teams to identify and deliver high-impact AI use cases.
• Design, prototype, and deploy LLM-based and Retrieval-Augmented Generation (RAG) solutions.
• Build and maintain APIs, automation workflows, and platform integrations that power AI-driven experiences.
• Drive AI-powered automation initiatives to improve developer productivity and operational efficiency.
• Ensure observability, traceability, compliance, and security across AI-enabled solutions.
• Promote best practices for automation, monitoring, scalability, and continuous improvement.
• Work with cutting-edge cloud technologies, containers, and modern engineering platforms.

What We're Looking For

• 5 years of experience as a Software Engineer, DevOps Engineer, MLOps Engineer, or AI Platform Engineer.
• Hands-on experience integrating Machine Learning and Generative AI solutions into production environments.
• Strong knowledge of cloud platforms, Docker, Kubernetes, APIs, and software delivery pipelines.
• Experience building or supporting LLM, RAG, and AI-powered automation solutions.
• Strong understanding of scalability, security, reliability, and enterprise architecture principles.
• Familiarity with Corporate Identity (CI) / Corporate Design (CD) ecosystems and enterprise tooling environments.
• Excellent communication skills and the ability to collaborate across multidisciplinary teams.
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

Work schedule

Business Hours. No intensive working days for friday or summer.

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.