AI Engineer – Design Automation

Description: To develop and support research on multi-agent systems. Initial focus will be on dataset curation and managing fine-tuning workflows, with opportunity to grow into broader system development, prototyping, and research contributions. Key Responsibilities - Curate, clean, and organize high-quality datasets for training and evaluation - Manage and execute fine-tuning pipelines for large language models and multi-agent systems - Support development of hierarchical multi-agent frameworks and evaluation tools - Assist in building prototypes, running experiments, and documenting results - Contribute to research outputs (papers, internal technical reports) over time Requirements - Master’s degree or First Class Honours Bachelor’s in Computer Science, Artificial Intelligence, Machine Learning, or related field - Solid understanding of large language models, fine-tuning techniques, and multi-agent systems - Experience with data curation, dataset management, and training pipelines - Familiarity with hierarchical planning, compositional design, or graph-based representations is a plus - Strong proficiency with PyTorch, PyTorch Geometric (PyG), and modern LLM frameworks. - Programming skills in Python.