Software Developer (AI)

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. 

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. 

• 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

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) 

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