AI Engineer – Design Automation
First seen by Alion on Oct 27, 2026.
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.
Skills
Multi-Agent Systems, Machine Learning, Representation Learning, Organizing Trainings, Development of Prototypes, teaching computer science, Pipeline Management, Data Pipeline, Artificial Intelligence, Build Prototypes, Fine Tuning, White Papers, PyTorch, Language Models, Internal Reporting, Programming