aimlroles

AI Engineer

KION Group Open · verified Oct 22, 2026
Barcelona Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at KION Group. Barcelona · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationBarcelona
EmploymentFull-time
PostedMay 27, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and launch analytics, machine learning and generative AI systems that address practical problems for internal and external users
  • Turn AI and generative AI models into complete working solutions, from development through deployment
  • Set up cloud MLOps and CI/CD workflows, including model checks, automated tests, integration and production monitoring
  • Review and refactor model code, then package, deploy and version models for ongoing use
  • Work with data, business, design and IT colleagues to shape and deliver AI solutions

What you bring

  • A degree in computer science, mathematics or physics, or comparable education, plus at least three years of professional experience
  • You can build cloud-based AI applications and end-to-end ML solutions, with Azure and GCP experience
  • You can create data and MLOps pipelines and have used Kubernetes and an MLOps framework such as MLflow
  • You have hands-on experience with RAG, production LLM monitoring and agent frameworks, plus strong Python skills
  • Fluent English, strong analytical thinking and clear communication

Who this fits

This mid-level role suits an AI engineer who can take models from development into production and work across technical and business teams. It is based in Barcelona’s Zona Franca, with a hybrid work model and flexible hours.

From the employer

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:

✨ What 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)

💻 Hybryd Work Model

⏱ Flexible Working Hours

🏥 Private health insurance

🍽 Food Allowance

🌟Committed to Diversity and Society: Support for employees with children with disabilities.

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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