Job Description Knowledge Engineer Lindau or Munich (Hybrid) Salary – Competitive bonus potential English C1 (fluent), German C1 (fluent) Revive Recruitment is delighted to be partnering with an innovative, fast-growing technology consultancy that specialises in knowledge management and intelligent information systems. With a mission of turning information into value and a strong focus on customer success, innovation, and collaboration, they are now looking for an experienced Knowledge Engineer to join their dynamic team. What You’ll Do Dive into customer knowledge domains and model complex relationships to create intelligent, accessible systems. Design, develop, and maintain knowledge graphs, semantic data models, vector databases, and relational databases. Collaborate with subject matter experts to build precise ontologies, taxonomies, and controlled vocabularies. Develop efficient SPARQL queries, transform data, and continuously optimize models. Analyze, adapt, and enhance knowledge models to meet evolving client requirements. Build, operate, and orchestrate robust data engineering pipelines across company, client, and cloud infrastructures. Integrate and optimize AI technologies including LLMs, chatbots, agents, and RAG/GraphRAG systems. Scout and evaluate new technologies, ensuring effective integration into existing architectures. Solve complex problems with innovative, sustainable solutions. What You’ll Have University degree in Computer Science, Information Science, Knowledge Management, Artificial Intelligence, or a related field. Minimum 2 years’ professional experience in Knowledge Engineering, Knowledge Management, or a related role. Experience working with clients and cross-functional project teams. Strong knowledge of databases, ontologies, semantic technologies, and SPARQL. Hands-on experience with tools such as PoolParty, AVM, AnzoGraph DB, or Ontotext GraphDB. Advanced Python skills (programming, debugging, deployment). Expertise in LLMs, chatbots, RAG systems, AI classification, and machine learning pipelines. A structured, solution-oriented working style and passion for innovation. What’s in It for You Be part of a people-first company culture built on respect, transparency, and collaboration. Work with cutting-edge technologies including AI, knowledge graphs, and advanced semantic solutions. Strong growth opportunities within a fast-expanding organisation. Agile methods (Scrum, Kanban) and modern, flexible working approaches. Hybrid working model: 2 days home office per week, flexible hours, and the option of a 32-hour workweek. 30 days of annual leave plus Christmas Eve off. Competitive salary with potential performance bonus (up to 5%). Additional benefits including bicycle/e-bike leasing, commuting subsidy, modern workspaces, and regular team events. Hiring Process Initial video interview (1 hour) with managers, HR, and department heads. On-site interview (4–5 hours including team lunch, site tour, and role deep-dive). Travel and accommodation costs covered. Final decision based on expertise, experience, and cultural alignment.