Job Description
Job Description
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.
Responsibilities
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
Pre-tax commuter benefit
Weekly company meals
Trexquant is an Equal Opportunity Employer