DevOps / MLOps Engineer with AI

Your responsibilities, Translate business needs into data science problems., Design, develop, and evaluate AI-driven solutions for enterprise data, leveraging Large Language Models (LLMs), Agentic AI, prompt engineering, chain design, tool integration, and lightweight agent workflows., Build and optimize solutions using frameworks such as LangChain and LangGraph, alongside traditional machine learning approaches including classification, regression, forecasting, and clustering models., Work with established evaluation: offline metrics, human-in-the-loop reviews, rubric-based GenAI assessments., Utilize Python for model development., Stay up to date with the latest advancements in machine learning and contribute to the adoption of new technologies within the team. What we offer, Private medical care, Multisport card, Friendly, informal atmosphere, and direct contact with everyone in the company, Modern technologies