CDQ

Software Developer (AI)

CDQ  •  Wrocław, PL (Remote)  •  2 days ago
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Job Description

Brief job description

We are looking for an experienced Java Developer with strong technical skills and a passion for creating high-quality, clean, and maintainable code. The ideal candidate has at least 3 years of professional experience and a solid background in backend development using modern Java technologies.
The perfect fit is a team-oriented person who values collaboration, knowledge sharing, and collective problem-solving. A genuine interest in data and databases is highly appreciated.

Was macht diese Position aus?

We are looking for an experienced Java Developer with strong technical skills and a passion for creating high-quality, clean, and maintainable code. The ideal candidate has at least 3 years of professional experience and a solid background in backend development using modern Java technologies.
The perfect fit is a team-oriented person who values collaboration, knowledge sharing, and collective problem-solving. A genuine interest in data and databases is highly appreciated.

Your daily tasks on the job

  • DesigningandimplementingAIagentswithreasoningpipelines(e.g. multi-stepworkflows,toolusage, RAG-baseddecisionmaking)
  • IntegratingAIcapabilitiessuchasLLM-poweredservices,semanticsearch, and intelligentautomation
  • Contributingtoscalablearchitecturesfordata- and event-drivensystems
  • Improving, refactoring, andmaintainingexistingcodebases
  • DesigningtasksincollaborationwiththeTeam Lead andProductOwner
  • Participatingin codereviews,architecturediscussions, andknowledgesharing
  • Contributed to the design of scalable architectures for data-heavy and AI-drivenservices
  • CollaboratecloselywiththeTeam Lead andProductOwnertodesigntasksandshapetechnicalsolution
  • Participatein codereviews,architecturediscussions, andknowledge-sharingsessions

Diese Qualifikationen bringst Du mit:

Java
Spring Boot / Spring AI
Docker
AI-related:

  • Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)
  • Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar)

Polish – C1 (required)
English – C1/B2+ (required)

So begeisterst Du uns:

Redis
Mongo DB
AI-related:

  • Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)
  • Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.)
  • Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offs
  • Experience with Ollama / vLLM
  • Experience with streaming architectures for AI pipelines (i.e. Kafka Streams)
  • Experience with document processing, OCR, or semantic search
CDQ

About CDQ

We deliver 100% data quality with zero manual maintenance for data-driven organizations.

🍒 𝗛𝗼𝘄?

➡️ Powered by sharing

➡️ Enabled by software solutions

➡️ Supported by research

By automating business partner data management processes, you can avoid the error-prone manual work of creating and maintaining data. We support your business partner master data activities from data assessment, normalization, merging, and quality assurance to fraud prevention, bank account trust scoring, and sanctions checks.

We emerged from the University of St. Gallen in Switzerland and are a proud global pioneer in data sharing with more than 18 years of data management expertise.

🍒 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝗖𝗗𝗤?

With CDQ, you access the world of external business partner data (+70 external registers and premium data sources available on our CDQ Cloud Platform) and a gateway to connect to any business application (e.g. SAP MDG) with a set of more than 2500 ready-to-use data quality rules.

In partnership with market leaders, we deliver master data automation for intelligent enterprises, offering a seamless integration for accessing accurate business partner information.

➡️ Our solution CDQ First Time Right has been officially endorsed by SAP.

➡️ Gartner’s Magic Quadrant recognized CDQ approach in the Interenterprise MDM category.

➡️ CDQ solutions offer a high level of customization, featuring a rule-based engine and adaptable APIs that you can effortlessly integrate directly into your existing ERP, CRM, and SRP systems.

Leading global enterprises, such as Bayer, Tetra Pak, Nestle, and many more Global Fortune 2000 companies rely on CDQ software solutions to better solve data challenges and benefit from exchange of best practices within the CDQ Data Sharing Community.

Experience the difference with CDQ and unlock the full potential of your master data management!

Industry
IT & Software
Company Size
51-200 employees
Headquarters
St. Gallen, CH
Year Founded
2015
Website
cdq.ch
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