AI Engineer

We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies.

• Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation.
• Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable.
• Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges.
• Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved.
• Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds.
• Identify potential risks related to AI and ensure appropriate safeguards are in place, especially with regard to model bias and robustness

Requirements

• Minimum 2 years of hands-on experience working with LLMs, AI or deep learning in a high-performance environment
• Experience working with large-scale datasets and deploying machine learning models in production
• Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models.)
• Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI)
• Strong understanding of algorithmic trading and financial data is a plus
• Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions

Benefits

• Competitive salary plus bonus based on performance
• Collaborative, casual, and friendly work environment 

• Minimum 2 years of hands-on experience working with LLMs, AI or deep learning in a high-performance environment
• Experience working with large-scale datasets and deploying machine learning models in production
• Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models.)
• Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI)
• Strong understanding of algorithmic trading and financial data is a plus
• Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions

• Competitive salary plus bonus based on performance
• Collaborative, casual, and friendly work environment