[Deep Learning Div.] Applied Research Scientist/Engineer - LLM Game Agent

KRAFTON's Deep Learning Division is at the forefront of AI innovation in gaming, focusing on developing cutting-edge solutions that enhance game development efficiency and player experiences. The LLM Game Agent Team is specifically dedicated to creating sophisticated AI agents that can autonomously interact with players and enhance gameplay through natural language processing and strategic decision-making.

As an Applied Research Scientist/Engineer specializing in LLM Game Agents, you'll join a dynamic team working on implementing large language models and specialized language models in gaming environments. The role combines theoretical research with practical application, requiring expertise in deep learning, reinforcement learning, and real-time systems optimization.

The position offers unique challenges in developing AI agents that can provide immersive gaming experiences while handling real-time interactions and large-scale concurrent users. You'll work with state-of-the-art technologies including vLLM, llama-cpp, SGLang, and various AI frameworks to create innovative solutions that push the boundaries of game AI.

Working at KRAFTON means joining a global team that values creativity and technological innovation. The company provides a collaborative environment where you'll work closely with game engineers, designers, and other professionals to bring research outcomes to life in actual game projects. The role offers opportunities for professional growth, international exposure, and the chance to shape the future of AI in gaming.

The ideal candidate will combine strong technical skills in machine learning and AI with a passion for gaming and player experience. You'll need to balance theoretical knowledge with practical implementation, ensuring that complex AI systems can operate efficiently in real-world gaming environments. The position requires both independent research capabilities and strong teamwork skills, as you'll be collaborating across different departments to achieve project goals.