AI Engineer
Description
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