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 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
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