Description
The AI Engineer will develop, optimize, and deploy large-language-model and other artificial-intelligence workflows for quantitative research, including literature review, data search, and code generation. The role involves production deployment, monitoring, scalability, integration with market-data feeds, collaboration with portfolio quant researchers, and risk management around model bias and robustness. Candidates need at least two years of hands-on experience with LLMs, AI, or deep learning in high-performance environments, along with experience deploying machine-learning models and knowledge of modern NLP techniques and frameworks.
