Company DescriptionInetum Innovationes el equipo responsable de definir y aplicar la estrategia de innovación de Inetum. Trabajamos internamente y con nuestros clientes en proyectos disruptivos que aplican nuevas tecnologías con el objetivo de causar un impacto en la sociedad. Formamos parte de unaconsultora digital ágil e internacionalcon más de28.Nuestro modelo de trabajo se basa en la cercanía, la confianza y la colaboración, operando como un único equipo global para dar respuesta a todas las necesidades de los distintos negocios y geografías en las que operamos.

Develop scalable backend systems and APIs to support AI solutions utilizing Azure services. Build and optimize cloud-based AI solutions. Utilize resources like Azure Functions, App Services, Cosmos DB, and Azure Key Vault to enhance solution performance, security, and efficiency.

Collaborate with other data scientists, AI engineers, and frontend developers to ensure seamless integration of AI models and solutions. Monitor system performance, troubleshoot issues, and resolve problems related to backend services and AI model deployments, ensuring high availability and reliability. Design, develop, and implement Intelligent Document Processing (IDP) solutions leveraging Large Language Models (LLMs)4-5 years of experience in the design, development and implementation of AI solutions, including Generative AI technologies and cloud-based AI services.

Mandatory: High level of English Additional InformationWhat do we offer? -Indefinite contract-Salary according to the experience provided.-Training plan in technological competences in accordance with the requirements of the projects and clients.-Flexible remuneration: we offer you an à la carte remuneration with the possibility of choosing different products and modelling yourself how to distribute them: health insurance, meal tickets, childcare, transport card, etc.-Flexible working hours and hybrid work. Mid-Senior LevelIndustry: The Senior AI Engineer is responsible for delivering business value through the design, delivery, and continuous improvement of AI solutions that support core business functions. This role focuses on applying advanced AI engineering techniques, tools, platforms, software engineering, architecture, and MLOps practices to develop scalable, production-ready systems that solve real business problems and contribute to long-term AI Labs capability growth.

As a highly collaborative and delivery-focused senior individual contributor, you will own long-term, multi-person initiatives, including products, frameworks, and technical capabilities,



ensuring work is clearly planned, measurable, and aligned to department value. This role requires deep applied AI engineering expertise across architecture, software engineering, experimentation, and MLOps, combined with the ability to communicate effectively, mentor others, influence technical direction, communicate trade-offs, and drive business-aligned outcomes through collaboration and leadershipWe offer flexibility in how and where you work. This position can be based remotely or in a hybrid model from one of our offices in Dublin (Ireland), Barcelona (Spain), or Warsaw (Poland).Applied AI Engineering - Develop and implement AI solutions using LLMs, RAG, agentic frameworks, document intelligence, machine learning, and data science techniques.

- Software Engineering & Architecture - Design, develop, and maintain scalable, cloud-native, and enterprise-grade applications using modern software engineering practices, clean architecture, reusable design patterns, and comprehensive testing.
- Cloud, DevOps & MLOps - Design, deploy, and operate scalable AI platforms and solutions on Azure using modern DevOps and MLOps practices, including CI/CD, Infrastructure as Code (IaC), containerization, automation, and cloud-native architectures.
- Manage the full lifecycle of AI applications, platforms, and models, including deployment, monitoring, observability, performance optimization, reliability, release management, and operational support.
- Evaluation, Experimentation & Continuous Improvement - Design and execute testing, evaluation, and experimentation strategies to validate solution effectiveness and business value.
- Continuously improve AI solutions through performance measurement, monitoring, feedback, and iterative optimization. Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, or a related field.
- 5+ years of experience developing software, AI, machine learning, cloud, or data-driven solutions.
- Strong Python software engineering experience using modern development practices.
- Experience designing and delivering scalable, secure, and maintainable software and AI solutions.




- Experience building and deploying AI and machine learning solutions into production.
- Experience with cloud platforms, preferably Microsoft Azure.
- Experience with Azure DevOps, CI/CD, Infrastructure as Code (IaC), MLOps, and deployment automation.
- Experience with Docker, Kubernetes (K8s), and containerized application deployment.
- Strong understanding of software architecture, engineering best practices, and enterprise security considerations.
- Demonstrated ability to lead technical initiatives and work effectively in Agile environments.

Qualifications - Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.

- Experience implementing AI evaluation, experimentation, and performance measurement frameworks.
- Azure certifications.
- You'll also benefit from annual paid leave, access to ULS University to support continuous learning and career growth, two volunteering days per year for community engagement, and adaptable working arrangements to support work-life balance. This role is gender-neutral and open to all qualified applicants, regardless of gender identity or expression. A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage. Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law. The Senior AI Engineer is responsible for delivering business value through the design, delivery, and continuous improvement of AI solutions that support core business functions. This role focuses on building and maintaining production vision, class peers, environments scalable for production deployment... (content continues unchanged)

📌 Senior Back End Developer, hibrido (Barcelona)
🏢 Global {M}
📍 Barcelona