
51 - 200 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
CDQ is a pioneering company in the field of data management, emerging from the University of St. Gallen in Switzerland. With over 18 years of expertise, CDQ specializes in automated business partner master data management, ensuring 100% data quality with zero manual maintenance. The company offers a range of services including data assessment, normalization, quality assurance, fraud prevention, and bank account trust scoring. Their solutions are trusted by leading global enterprises such as Bayer and Nestle, and are recognized by SAP and Gartner for their innovative approach to interenterprise master data management. Through CDQ's software solutions, businesses can access extensive external data sources and integrate seamlessly with existing ERP and CRM systems, enhancing the overall accuracy and efficiency of their data management processes.
🕒 June 30
🗣️🇵🇱 Polish Required
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51 - 200 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
CDQ is a pioneering company in the field of data management, emerging from the University of St. Gallen in Switzerland. With over 18 years of expertise, CDQ specializes in automated business partner master data management, ensuring 100% data quality with zero manual maintenance. The company offers a range of services including data assessment, normalization, quality assurance, fraud prevention, and bank account trust scoring. Their solutions are trusted by leading global enterprises such as Bayer and Nestle, and are recognized by SAP and Gartner for their innovative approach to interenterprise master data management. Through CDQ's software solutions, businesses can access extensive external data sources and integrate seamlessly with existing ERP and CRM systems, enhancing the overall accuracy and efficiency of their data management processes.
• Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, RAG-based decision making) • Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation • Contributing to scalable architectures for data- and event-driven systems • Improving, refactoring, and maintaining existing code bases • Designing tasks in collaboration with the Team Lead and Product Owner • Participating in code reviews, architecture discussions, and knowledge sharing
• 5+ years of professional experience • Java • Spring Boot • Docker • AI-related: Spring AI • Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.) • Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch) • AWS Bedrock • LangChain4j • Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG) • Understanding Model Context Protocol • Polish – C1 (required) • English – C1/B2+ (required)
• Professional development • Collaboration with the Team Lead and Product Owner
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