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