{"id":155009,"url":"https://alion.io/job/kion-group-ai-engineer","title":"AI Engineer","company":{"id":4376379,"name":"STILL","domain":"still.at","url":"https://alion.io/company/still-gesellschaft-m-b-h","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":651,"ghost_share":0.072,"stale_share":0.017,"repost_share":0.332,"time_to_fill_p50_days":122,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-05-27T00:00:00Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-28T16:28:45Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":154},"description":"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:\nINTEGRITY - we do what is right\nCOLLABORATION - we trust each other\nCOURAGE - we drive change and innovation\nEXCELLENCE - we deliver exceptional value to our customers\nYou will work for a successful global company in an international environment.\nAre you ready for a new challenge? Then you might be the one we are looking for!\nAbout the company:\nWe 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.\nWe offer:\nWhat we offer:\nAttractive remuneration based on your experience, skills and development.\nExtensive trainings in your area of responsibility\nThe opportunity to participate in the international projects and a significant influence on company IT development\nBarcelona (Zona Franca)\nHybryd Work Model\nFlexible Working Hours\nPrivate health insurance\nFood Allowance\nCommitted to Diversity and Society: Support for employees with children with disabilities.\nTasks and Qualifications:\nYour role:\nDesign, 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\nApply machine learning and generative AI models for end-to-end solution building\nBuild MLOps on cloud (Azure and GCP) and build CI/CD pipelines\nAI model review, code refactoring, containerization, deployment, versioning and monitoring\nAI model validation, test automation and integration\nCollaborate closely in interdisciplinary teams with data scientists, data engineers, business units, UX designers and IT departments\nYour profile:\nCompleted studies in computer science, mathematics, physics or a comparable education\n3+ years of professional experience\nAbility to design, implement and maintain AI-driven applications on cloud (Azure and GCP), including performance and cost monitoring and optimization\nStrong experience with AI/ML end-to-end solutions developing\nAbility to build data and MLOps pipelines and experience with MLOps frameworks (e.g., MLflow) and with Kubernetes\nExperience with leveraging Retrieval Augmented Generation (RAG) architectures and monitoring them in production using LLM Observability platforms (e.g., Langfuse)\nAbility to develop and deploy agentic AI solutions to automate complex workflows and enable autonomous decision-making using an agent framework, e. g. 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