
Software Developer (AI)
Cdq Ag
🇵🇱 Poland
Remote
Mid level
2 months ago
- Java
- RAG
- AI
- Spring Boot
- Docker
- Milvus
- Pinecone
- Qdrant
- Elasticsearch
- Vector Search
- Redis
- MongoDB
- AI/ML
- Ollama
- vLLM
- Kafka Streams
- OCR
2 months ago
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.Â
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 AIÂ
DockerÂ
AI-related:Â
- Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)Â
- Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar)
English – C1/B2+ (required)RedisÂ
Mongo DBÂ
AI-related:
- Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)Â
- Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.)Â
- Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offsÂ
- Experience with Ollama / vLLMÂ
- Experience with streaming architectures for AI pipelines (i.e. Kafka Streams)Â
- Experience with document processing, OCR, or semantic searchÂ
Software Developer (AI) · Cdq Ag