AI Engineer

Responsibilities Design and implementation of Gen AI solutions, building and deploying RAG and agent-based solutions using pre-built LLM models/services. Prototyping AI applications for business users. Development and implementation of production-level solutions. Collaboration with clients, process analysis, requirements gathering. Prototyping analytical solutions (testing approaches). Presentation of concepts and business cases, discussion of obtained results. Evaluation of new technologies, libraries, approaches, and proposing innovative solutions. Requirements Higher education in computer science or related fields, e.g., data science, mathematics, econometrics, quantitative methods Over 2 years of experience as an AI engineer implementing commercial or scientific projects using LLM services Good knowledge of the Azure environment Very good knowledge of Python Good knowledge of RAG techniques, prompt engineering, using LLM, and their implementation in Python Basic knowledge of natural language processing (NLP) Knowledge of good programming practices (code review, Gitlab, CI/CD) Good communication skills, ability to conduct business conversations Good knowledge of English Preferred: Experience in consulting and advisory services Experience in implementing data science/AI projects from inception to production launch Knowledge of Azure Databricks Knowledge of PyTorch, TensorFlow Experience in model operationalization Certificates confirming skills What we offer Participation in diverse and technologically advanced GenAI projects Modern technology stack and openness to implementing new solutions Work in a dedicated Data Science team Private healthcare and sports card Flexible work hours and the possibility of 100% remote work Team-building events and unforgettable company events