AI Engineer

Quick Facts

• Role: AI Engineer focused on GenAI development

• Work: Collaborative, client-facing, and production implementation

Description

Design and implement GenAI solutions, including RAG and agent-based systems using pre-built LLM models/services. Prototype AI applications for business users and develop production-level solutions, working closely with clients on process analysis and requirements gathering. Evaluate new technologies and present concepts and outcomes.

Responsibilities

• Design and implement GenAI solutions (RAG and agent-based) using pre-built LLM services

• Prototype AI applications for business users

• Develop and deploy production-level solutions

• Collaborate with clients on process analysis and requirements gathering

• Prototype analytical solutions and define testing approaches

• Present concepts and business cases; discuss obtained results

• Evaluate new libraries/technologies/approaches and propose innovative solutions

Requirements

• Higher education in computer science or related fields (data science, mathematics, econometrics, quantitative methods)

• 2+ years of experience as an AI engineer implementing commercial or scientific projects using LLM services

• Strong knowledge of the Azure environment

• Very good knowledge of Python

• Good knowledge of RAG techniques, prompt engineering, using LLMs, and implementing them in Python

• Basic knowledge of natural language processing (NLP)

• Knowledge of good programming practices (code review, GitLab, CI/CD)

• Good communication skills for business conversations

• Good knowledge of English

Preferred

• Experience in consulting and advisory services

• Experience implementing data science/AI projects from inception to production launch

• Azure Databricks

• PyTorch and/or TensorFlow

Benefits

• 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 company events