Backend Developer

Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group.

Our values are:

• INTEGRITY – we do what is right
• COLLABORATION – we trust each other
• COURAGE – we drive change and innovation
• EXCELLENCE – we deliver exceptional value to our customers

You will work for a successful global company in an international environment. Are you ready for a new challenge? Then you might be the one we are looking for!

About the company

We are a socially responsible company that offers equal employment opportunities, promotes diversity, and respects differences within our organization. We do not tolerate any form of discrimination, harassment, or aggression – whether verbal or physical, direct or indirect – against individuals or material objects.

We offer

• Attractive remuneration based on your experience, skills and development.
• Extensive trainings in your area of responsibility.
• The opportunity to participate in the international projects and a significant influence on company IT development.
• Barcelona (Zona Franca).
• Hybrid Work Model.
• Flexible Working Hours.
• Private health insurance.
• Food Allowance.
• Committed to Diversity and Society: Support for employees with children with disabilities.

Tasks and Qualifications

Your role:

• Design, build and deploy innovative solutions in the area of data analytics, machine learning and generative AI to solve complex real-world problems for our internal and external customers.
• Apply machine learning and generative AI models for end-to-end solution building.
• Build MLOps on cloud (Azure and GCP) and build CI/CD pipelines.
• AI model review, code refactoring, containerization, deployment, versioning and monitoring.
• AI model validation, test automation and integration.
• Collaborate closely in interdisciplinary teams with data scientists, data engineers, business units, UX designers and IT departments.

Your profile:

• Completed studies in computer science, mathematics, physics or a comparable education.
• 3+ years of professional experience.
• Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP), including performance and cost monitoring and optimization.
• Strong experience with AI/ML end-to-end solutions developing.
• Ability to build data and MLOps pipelines and experience with MLOps frameworks (e.g., MLflow) and with Kubernetes.
• Experience with leveraging Retrieval Augmented Generation (RAG) architectures and monitoring them in production using LLM Observability platforms (e.g., Langfuse).
• Ability to develop and deploy agentic AI solutions to automate complex workflows and enable autonomous decision-making using an agent framework, e.g., ADK.
• Excellent Python programming skills and familiarity with relevant frameworks and libraries like scikit-learn, Pytorch, Tensorflow etc.
• Strong conceptual and analytical skills.
• Good communication skills.
• High degree of initiative and solution orientation.
• Fluent in English.