AI Engineer

📋 Description

• Implement and integrate AI models (fine-tuning, RAG, ML pipelines)
• Deploy and maintain models in production (MLOps, monitoring, evaluation)
• Work with data: feature engineering, data quality, dataset preparation

🎯 Requirements

• Python and key libraries (PyTorch/TensorFlow, scikit-learn, LangChain/LlamaIndex)
• LLM technologies: prompt engineering, RAG, fine-tuning, embeddings, vector databases
• Traditional ML: supervised and unsupervised learning, evaluation, validation
• MLOps: Docker/Kubernetes, CI/CD, MLflow, model serving (vLLM, Triton)
• SQL, cloud platforms or on-premises infrastructure
• English and Polish speaker

🎁 Benefits

• Full-time permanent contract or contractor mode
• Hybrid setup in Warsaw Offices
• Professional growth and learning opportunities
• Multicultural team and international environment
• Private medical insurance, life insurance, lunch and transport card
• Smart Office Pack and online language classes