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# Backend Engineer (AI integration)

- **Company:** UST
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Cloud Engineering, DevOps, Machine Learning, Systems Integration, Data Logging, Large Language Models, Generative AI, Backend, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** July 2, 2026
- **Apply:** https://www.tecnoempleo.com/backend-engineer-ai-integration-ust/ai-integration-devops/rf-c75219447285432e444a

## About the Role

A mid-level Backend Engineer (3-5 years experience) with strong expertise in AI integration, DevOps, or MLOps.
Solid understanding of cloud platforms, containerization (Docker/Kubernetes), APIs, and CI/CD pipelines.
Experience bringing Machine Learning (ML) and Generative AI solutions (LLMs, RAG) into production environments.
A security-focused mindset, familiar with enterprise compliance and data protection standards.
A collaborative professional comfortable working in agile, cross-functional teams.
Strong communication skills and very good English proficiency.
A degree in Computer Science or related field (or equivalent experience)., Hands-on ability to integrate AI components into real production systems.
Strong technical skills in:
Backend development
DevOps/MLOps practices
APIs and system integrations
Cloud-native architectures
Familiarity with enterprise platforms and tooling ecosystems.
A proactive mindset to drive innovation and automation using AI.
Commitment to quality, reproducibility, and operational excellence.
Ability to balance technical depth with business impact.

## Description

Own and develop the AI integration layer within the software delivery toolchain.
Collaborate with product engineers and platform teams to identify and implement AI-driven opportunities.
Design, prototype, and validate LLM-based and RAG pipelines.
Build and maintain APIs, pipelines, and integrations for AI capabilities across platforms.
Support automation initiatives to improve developer productivity and efficiency.
Ensure traceability, logging, monitoring, and compliance across all AI integrations.
Maintain high standards for security, scalability, and maintainability of solutions.
Promote best practices in automation, observability, and continuous improvement., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección
En esta oferta serás redirigido a la pagina web de la empresa.
Completa el formulario en su web.

 * Madrid (Híbrido)
Ubicación

 * DevOps
Funciones

 * Jornada completa
Jornada

 * 3-5 años
Experiencia

 * Indefinido
Tipo contrato

 * AI integration DevOps MLOps Docker


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