Software Developer (AI)

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