Engineer; m​/w​/d

Your mission

As a Knowledge Engineer, you will dive deep into our customers’ knowledge domains within our projects, model complex relationships, and develop intelligent systems that make knowledge easily and reliably accessible. Whether building knowledge graphs, designing RAG systems, or integrating cutting-edge AI technologies – you will work closely with clients and your team to turn knowledge into tangible solutions.
Key responsibilities, with individual focus areas:

• Knowledge & Data Modeling: Design, develop, populate, and maintain knowledge graphs, semantic data models, vector databases, and relational databases.
• Ontologies & Metadata: Collaborate with subject matter experts to create precise ontologies, taxonomies, and controlled vocabularies.
• Queries & Data Optimization: Develop efficient SPARQL queries, transform data, and continuously optimize models.
• Consulting & Model Enhancement: Analyze, adapt, and improve existing knowledge models to meet new requirements.
• Data Engineering Pipelines: Develop, operate, and orchestrate data pipelines across company, client, and cloud infrastructures.
• AI & Machine Learning: Integrate, test, and optimize LLMs, chatbots, agents, and RAG/Graph
  
  RAG systems.
• Technology Scouting: Evaluate new technologies and integrate them effectively into existing architectures.
• Complex Problem Solving: Analyze challenges and develop innovative, sustainable solutions.

Education & Qualifications

• University degree in Computer Science, Information Science, Knowledge Management, Artificial Intelligence, or a related field.
• Additional certifications in areas such as Data Science, Machine Learning, Knowledge Modeling, or Project Management are a plus.

• At least 2 years of professional experience in Knowledge Engineering, Knowledge Management, or a similar role.
• Experience working in projects with clients and interdisciplinary teams.

• Strong knowledge of databases, ontologies, semantic technologies, and SPARQL.
• Experience with tools such as Pool Party, AVM, Anzo Graph DB, or Ontotext Graph
  
  DB.
• Advanced Python skills (programming, debugging, deployment).
• Expertise in LLMs, chatbots, agents, RAG, AI classification, and machine learning pipelines.

• Diverse Projects:
  Work on challenging projects in international teams with renowned clients from various industries.
• Flexible Work Arrangement:
  Enjoy the freedom to work from home two days a week.
• Vacation:
  You get 30 days of vacation per year. We understand the importance of rest and rejuvenation.
• Supportive Team:
  Look forward to joining a helpful team of experienced colleagues with flat hierarchies. We work together in a positive and cooperative atmosphere where everyone matters.
• Competitive Salary:
  We reward your performance and experience with a competitive salary. You will be compensated fairly and transparently.
• Modern Work Environment:
  Our offices are modern and sustainably designed, equipped with the latest technology and tools to help you work efficiently and productively.
• Job Rad: Take advantage of the Job Rad program and lease a bicycle or e-bike at attractive rates. Commute environmentally friendly or enjoy your leisure time on a bike.
• Subsidy for the Deutschlandticket:
  We support your eco-friendly mobility! Our employees receive a subsidy for the Deutschlandticket, allowing you to conveniently and affordably use public transportation for local and long-distance travel.
• Regular Team Events:
  We believe in the value of team cohesion and fun. That's why we regularly host team events like summer parties and cocktail evenings, where you can get to know your colleagues better and celebrate together.
• Personal Credit Card: Our employees receive a personal PANTOPIX credit card (Mastercard) with a monthly credit balance that you can use flexibly. This is an additional recognition of your valuable work with us.