Middle AI Game Designer

We are looking for a Middle AI Game Designer to help design and improve intelligent player behavior for our next-generation sports simulator. In this role, you will work on teammate and opponent AI, focusing on positioning, tactical decision-making, coordination, and adaptation to changing gameplay situations. If you are interested in systemic game design, sports tactics, and building believable AI behavior, we’d love to meet you.

SportSpired Games is an international game studio developing next-generation sports simulators. Our team includes professionals with experience at Wargaming, MY.GAMES, Ubisoft, 343 Industries, Starbreeze, Sperasoft, and EA Sports. We are currently working on a large-scale AAA title planned for release in 2028–2029.

Responsibilities

• Design and tune AI behavior for sports players who are not directly controlled by the user, with a focus on tactical interaction, positioning, and teamwork.
• Design opponent AI that provides challenging and dynamic gameplay and responds appropriately to player actions.
• Collaborate with programmers and designers to create realistic and believable AI tailored to the specifics of a sports simulator.
• Tune and optimize AI behavior to ensure smooth gameplay and strong performance across PC and console platforms.
• Continuously test AI behavior and improve it based on gameplay analysis, playtests, and feedback from the development team.
• Iterate on AI systems to ensure believable behavior across a wide range of gameplay situations.
• Create and maintain design documentation covering AI mechanics, behavioral models, parameters, and ongoing changes.
• Create and maintain documentation for tools used in AI development and tuning.

Requirements

• 1+ year of professional experience as a Game Designer, preferably working on PC or console titles.
• Confident knowledge of Unreal Engine and experience working with its tools.
• Experience designing or tuning AI behavior for competitive games.
• Basic experience creating and maintaining AI design documentation.
• Ability to work with AI systems involving a large number of variables and parameters without losing clarity or control over the data.
• Basic understanding of AI state systems, navigation, strategy, and tactical modeling.
• Understanding of tactical principles in sports games, including team behavior, coordination, positioning, and strategic decision-making.
• Strong analytical thinking and willingness to iterate based on playtesting and gameplay data.