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