AI Agent Developer Intern

Job Summary We are seeking an AI Quantitative Agent Intern to support the design, development, and iteration of AI-powered modular agent capabilities (“skills”) for financial and quantitative systems. Responsibilities • Develop modular agent components to process financial data, support trading workflows, and monitor risk effectively • Create reusable components to enhance AI-driven decision support systems • Prototype rapidly and iterate using AI-assisted development tools to improve system functionality • Test and evaluate tool-calling performance for large language models (e.g., Qwen, MiniMax) to ensure accuracy and efficiency • Improve model accuracy for interpreting structured instructions and automating workflows • Design prompts, orchestrate logic, and conduct basic system testing to optimize AI agent performance • Integrate AI-generated components into existing financial and quantitative systems • Support backtesting, simulations, and performance testing to validate system reliability • Monitor system performance continuously and identify improvement opportunities Required competencies and certifications • Basic proficiency in Python programming with the ability to learn from AI-generated code • Understanding of large language model (LLM) concepts, including prompting and agent workflows • Interest in AI-assisted development tools (e.g., Cursor, Windsurf) and quantitative systems • Ability to learn quickly and contribute effectively to prototype development Preferred competencies and qualifications • Experience with Python projects, data analysis, or automation workflows • Familiarity with APIs, basic machine learning concepts, or scripting languages • Interest in LLM applications, agent systems, or local model deployment • Curiosity about financial systems and data-driven decision-making processes