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Senior Software Developer (AI)

🇵🇱 Poland

Mongo

Java

Docker

AWS

Elasticsearch

Machine Learning

Design

Redis

Backend

Senior Software Developer (AI)

from 🇵🇱 Poland

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 5 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 5 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.
  • 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
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)
  • UnderstandingModel Context Protocol

  • Polish – C1 (required) / English – C1/B2+ (required)
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

by @maxrusakovic