The role involves designing, developing, and deploying artificial intelligence applications to enhance trading, risk management, and client service capabilities. The engineer will build intelligent automation solutions and conversational interfaces to support business workflows. Responsibilities include architecting retrieval-augmented generation pipelines and developing multi-agent systems for complex financial problem-solving. The position requires creating data pipelines and integrating AI capabilities into existing trading platforms. Additionally, the engineer will collaborate with quantitative researchers and business stakeholders to implement high-impact solutions while ensuring compliance with regulatory standards.

Candidates must possess a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related quantitative field. Applicants are required to have one to five years of professional experience in AI/ML engineering, software development, or data science. The role necessitates a strong academic foundation in algorithms, data structures, and software engineering principles. Furthermore, candidates must demonstrate a proven track record of building and deploying production-grade AI applications.