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.