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.
Spring Boot / Spring AI
Docker
AI-related:
English – C1/B2+ (required) Redis
Mongo DB
AI-related:
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
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)
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