Software Developer; AI

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.

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.

• Designingandimplementing
  
  AIagentswithreasoningpipelines(e.g., multi-step workflows, RAG-baseddecisionmaking)
• IntegratingAIcapabilitiessuchasLLM
  -poweredservices,semanticsearch, and intelligent automation
• Contributingtoscalablearchitecturesfordata- and event-drivensystems
• Improving,refactoring, andmaintainingexistingcode bases
• Designingtasksincollaborationwiththe Team Lead and Product Owner
• Participating in code reviews,architecturediscussions, andknowledgesharing
• Contributed to the design of scalable architectures for data-heavyand AI-driven services
• Collaboratecloselywiththe Team Lead and Product
  
  Ownertodesigntasksandshape thetechnicalsolution
• Participate in code reviews,architecturediscussions, and knowledge-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