AI Engineer

Requirements

• An AI-first approach to engineering , with hands-on experience using AI tools for development, testing, debugging, or analysis. You are excited to make AI-driven workflows central to how you work, actively experiment with new capabilities, and adapt your approach as tools improve, while taking responsibility for the quality of what you deliver.
• BSc in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• An MSc with a focus on artificial intelligence or reinforcement learning is preferred.
• Proficiency in Python, with demonstrated ability to build and debug prototypes, automate experiments, and analyse results.
• Practical experience applying machine learning or building AI systems through professional work, research, or substantial projects.
• A solid understanding of machine learning fundamentals and experimental methods, including selecting baselines, measuring outcomes, and drawing conclusions supported by evidence.
• Strong problem-solving and communication skills, including the ability to investigate unfamiliar systems and explain technical findings to engineers, designers, and customers.
• An AI-first approach to engineering: actively using and experimenting with AI tools for development, debugging, and analysis while taking responsibility for the quality of your work.
• Familiarity with Unity, Unreal, or comparable game engines is valuable but not required. An interest in games and how agent behaviour contributes to player experience is important.