At least 1 year of commercial experience as a software developer (or relevant hands-on experience in AI/ML/LLM engineering)., Strong knowledge of Python 3 (OOP, functional programming, modular code design, clean code principles)., Good command of SQL and experience working with relational databases., Practical experience integrating with LLM APIs (OpenAI, Azure OpenAI, Ollama, Hugging Face, Anthropic, etc.)., Understanding and hands-on experience with prompt engineering techniques., Practical experience building or modifying RAG pipelines (document preprocessing, retrieval tuning, chunking strategies, embeddings)., Familiarity with vector databases (e.g., Qdrant, Pinecone, pgvector)., Understanding of agent-based architectures (multi-agent workflows, tool usage, Orchestrators, ReAct patterns)., Knowledge of Docker and Docker Compose., Experience working with Git (branching strategies, PR reviews, CI/CD basics)., Fluency in English (B2/C1 level at least)., Availability to work full-time and ability to work in the European Union., Experience with frameworks such as LangChain, LangGraph, Haystack or similar agent/RAG frameworks., Knowledge of graph databases (especially Neo4j)., Experience with ML libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch., Hands-on experience running open-source LLMs locally using tools such as Ollama, vLLM or Text Generation Inference., Familiarity with MLOps/LLMOps concepts (logging, tracing, experiment tracking, Langfuse)., Exposure to modern cloud platforms (Azure, AWS, GCP) and AI-related services., Demonstrated ability to learn quickly and a strong interest in emerging AI technologies.

employee assistance program, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, dental care, computer available for private use, leisure zone, redeployment package, employee referral program