AI Engineer
Develops, deploys, and optimizes production AI systems using LLMs, NLP, and machine learning tools for quant research and market applications. Requires at least two years of hands-on AI or deep learning experience and familiarity with production model deployment.
About the job
Responsibilities
- Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for quant research applications, including literature review, data search, and code generation.
- Deploy, monitor, and enhance AI systems to ensure scalability.
- Partner with portfolio quant researchers to develop AI tools addressing market opportunities and challenges.
- Stay current with AI developments, contribute to internal thought leadership, and advance AI capabilities.
- Deploy AI models in production environments and integrate them with existing infrastructure and real-time market data feeds.
- Identify AI-related risks and implement safeguards, particularly for 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 natural language processing techniques and frameworks, including tokenizers, transformers, and embedding models.
- Familiarity with machine learning platforms and tools such as PyTorch, Hugging Face, and OpenAI.
- Strong understanding of algorithmic trading and financial data is a plus.
- Excellent problem-solving abilities and the capacity to translate complex business requirements into innovative technical solutions.
Compensation and Benefits
- Competitive salary plus performance-based bonus.
- Collaborative, casual, and friendly work environment.
Skills
LLMs, Vector Databases, Natural Language Processing, Transformers, Embedding Models, PyTorch, Hugging Face, OpenAI, Machine Learning, Deep Learning, Algorithmic Trading, Real-Time Data Feeds
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