AI Engineer

Role Overview

We are looking for an AI Engineer who will design, build, and deploy AI-powered solutions, contributing to scalable and secure systems while supporting the adoption of modern AI practices across the organization.

What You Will Do

Design, develop, and deploy AI/ML models and solutions, ensuring scalability and reliability; Work across the full lifecycle of AI systems, including data preparation, training, deployment, and monitoring; Collaborate with engineers, architects, and stakeholders to define and implement AI solution architectures.

Why It Might Be a Fit

Experience designing and implementing AI/ML models and solutions in production environments; Strong programming skills in Python; Understanding of machine learning frameworks and libraries; Experience deploying solutions using cloud platforms (e.g. AWS, Azure, or GCP)

Requirements

• Experience designing and implementing AI/ML models and solutions in production environments
• Strong programming skills in Python
• Understanding of machine learning frameworks and libraries
• Experience deploying solutions using cloud platforms (e.g. AWS, Azure, or GCP)
• Experience with CI/CD, APIs, and containerized environments
• Knowledge of data preprocessing and feature or prompt engineering
• Strong problem-solving and analytical skills
• Good communication skills with the ability to explain technical concepts to business stakeholders
• Understanding of ethical and responsible AI practices
• Proactive mindset and ability to work in cross-functional, international teams

Benefits

• 24 working days of paid vacation
• 11 paid national holidays
• Health care: up to 10 paid sick days, on-demand medical insurance, vaccinations
• Mental health support: webinars, resources, and compensation for therapy sessions
• Access to our corporate learning platform
• Language classes (English)
• Flexible benefits budget: a fixed monthly amount you can spend on what matters most to you - medical insurance, sports, leisure, fuel, and more
• 8-hour workday aligned with the client’s working hours
• Hybrid work options: work from home with the option to use our cozy office space whenever needed
• Engaging team events and thoughtful gifts throughout the year