Game AI Engineer - Varsapura

Responsibilities

1. Participate in the design and development of game AI systems for the Varsapura project, including NPC behavior, decision-making, pathfinding, and perception systems, contributing to a believable and immersive game world
2. Collaborate closely with designers, artists, and engineers to translate gameplay designs into stable, high-performance code implementations
3. Participate in the development and optimization of AI-related modules in Unreal Engine; work through performance bottlenecks to ensure a smooth player experience
4. Participate in game server development — implementing gameplay features, ensuring server stability under high concurrency and high player load, and supporting live operations
5. Explore and apply cutting-edge AI technologies — including AIGC, large language models, and AI Agents — to game content generation, development workflow automation, or intelligent tooling
6. Take part in technical design reviews and contribute to the team's knowledge sharing and best practice accumulation in game AI

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, or a related field; 3+ years of relevant game development experience.
• Solid CS fundamentals with deep understanding of data structures, algorithms, operating systems, and networking.Proficient in C++ or C#, with strong understanding of language internals and good code architecture skills.
• Hands-on experience with Unreal Engine (UE4/UE5) in a real production environment.
• Systematic understanding of game AI — familiar with behavior trees, state machines, pathfinding algorithms (e.g., A*, NavMesh), and related techniques.
• Strong problem-solving ability; capable of independently owning module design and delivery.
• Excellent cross-functional communication and collaboration skills; able to work effectively in a multicultural, international team environment.

Bonus Points

• Shipped experience on a large-scale commercial game title.
• Research or production experience with AIGC, code LLMs, AI automation, or AI Agent frameworks.
• Familiarity with machine learning or reinforcement learning fundamentals, with practical experience applying them to game AI.
• Experience in game server development; knowledge of high-concurrency and distributed system design.
• Prior experience working on overseas projects or in cross-regional teams.