AI Engineer, AI Agent Development

Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start‐ups and companies developing AI products to perform use‐inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. This is an exciting opportunity for an AI Engineer to be at the forefront of AI innovation. You will design, build, and optimise real‐time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting‐edge research in computer vision, large‐language models (LLMs), and real‐time action systems. You will be working in a dynamic environment, collaborating closely with Prof Bo An (Nanyang Technological University) and ego AI, a Y Combinator‐backed AI Applied Research & Games company (with offices in San Francisco, Tokyo, and Singapore) founded by ex‐Facebook AI & Oculus researchers. This position is pivotal in bridging state‐of‐the‐art research with practical deployment, directly supporting AISG’s mission to advance applied AI through impactful research and scalable product development. You will contribute to strengthening collaborations between AISG’s applied research teams and our industry partners. Duties and Responsibilities Architect, implement, and refine modular AI pipelines that support agent perception, planning, and action within real‐time 3D environments. Develop and optimise real‐time perception systems leveraging advanced computer vision models. Create and experiment with novel vision‐language‐action models for autonomous gameplay, drawing inspiration from robotics. Conduct research into multi‐agent systems and cooperative/competitive behaviours within simulated environments. Integrate AI models into leading game engines (e.g., Unity, Unreal Engine) for interactive training, evaluation, and deployment. Design innovative reward functions and robust evaluation metrics for reinforcement learning agents. Curate and maintain high‐quality datasets for supervised and self‐supervised learning paradigms. Build and scale cloud‐ready inference pipelines using containerisation (Docker, Kubernetes) and MLOps best practices. Perform rigorous latency optimisation and benchmarking to ensure real‐time system performance. Mentor junior team members and foster a collaborative development environment through constructive code reviews. Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate. Actively participate in cross‐functional planning, project retrospectives, and knowledge‐sharing initiatives. Qualifications A Master’s or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field. Strong programming proficiency in Python and C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands‐on experience with simulation environments such as Unity ML‐Agents, NVIDIA Isaac Sim, MuJoco, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi‐modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real‐time systems. Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes). Excellent communication and collaboration skills, with an ability to articulate complex technical concepts to diverse audiences. A genuine passion for developing AI agents for 3D environments (e.g., gaming, simulation) and a strong alignment with AISG's mission. More Information Location: Kent Ridge Campus Organization: Office of the Deputy President (Res&Tech)Department : AI Singapore #J-18808-Ljbffr