Software Developer (AI) at CDQ AG

Wrocław, dolnoslaskie, Poland -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

0.0

Posted On

28 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Docker, Spring AI, LLM Integration, Vector Databases, AWS Bedrock, LangChain4j, RAG, Prompt Engineering, Model Context Protocol, Redis, MongoDB, Kafka Streams, Semantic Search, OCR

Industry

IT Services and IT Consulting

Description

Why us? 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. What is key about this position? 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 mission: Your daily tasks on the job Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, RAG-based decision making) Integrating AI capabilities suchas 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 theTeam Lead andProductOwner Participatingin codereviews,architecturediscussions, andknowledgesharing Contributed to the design of scalable architectures for data-heavy and AI-drivenservices Collaborate closely with theTeam Lead and ProductOwner to design tasks and shape the technical solution Participate in codereviews, architecture discussions, and knowledge-sharing sessions Deine Mission Your mission Your qualifications: 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 vector search, or similar) 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) How you thrill us: Redis Mongo DB AI-related: 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 How you thrill us Benefits How to apply: About us "Smart in mind and heart" is what we are at CDQ! As a spin-off of the University of St. Gallen in Switzerland, CDQ is the global pioneer in collaborative data management with more than 15 years of experience in data quality. We have developed the first suite for collaborative data management with Data Quality as a Service (DQaaS). Our goal is 100% data quality - without maintenance. Would you like to actively shape the future of the world's leading provider of collaborative data management? Then we look forward to receiving your application!

Responsibilities

Design and implement AI agents with reasoning pipelines and integrate LLM-powered services into scalable architectures. Collaborate with the Team Lead and Product Owner to refactor code and participate in architecture discussions.