Senior Software Developer (AI)

CDQ Poland is a company focused on innovative Data Quality Services, leveraging Data Sharing as a method to improve data quality. They provide a cloud-based software platform offering Data Quality as a Service, continuously monitoring and updating customer master data, integrated with ERP or CRM systems.

• Minimum 5 years of experience
• English language proficiency at B2+ and Polish at C1
• Experience with Java, including Spring Boot and Docker
• Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)
• Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar)
• Knowledge of AWS Bedrock and LangChain4j
• Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)
• Understanding of Model Context Protocol
• Nice to have: Redis, MongoDB
• 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 (e.g., Kafka Streams)
• Experience with document processing, OCR, or semantic search

• Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, tool usage, 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 codebases
• Designing tasks in collaboration with the Team Lead and Product Owner
• Participating in code reviews, architecture discussions, and knowledge sharing
• Contributing to the design of scalable architectures for data-heavy and AI-driven services
• Collaborating closely with the Team Lead and Product Owner to design tasks and shape technical solutions
• Participating in code reviews, architecture discussions, and knowledge-sharing sessions