**What You’ll Do** * Build agentic workflows for investment research, data analysis, and alpha discovery * Design and run evaluations for AI agents, including reliability, reasoning quality, and task-completion benchmarks * Deploy AI systems into production workflows used by internal teams and institutional investors * Improve agent performance through prompt design, tool use, retrieval, memory, orchestration, and feedback loops * Work closely with quant researchers and infrastructure engineers to turn research workflows into robust AI-powered systems **What We’re Looking For** * 2-3 years of experience in a tech startup, AI lab, or big tech environment * Strong software engineering skills and experience shipping production AI systems * Hands-on experience with LLMs, agents, evaluations, RAG, tool-calling, or AI workflow orchestration * Master’s degree in computer science, AI, machine learning, engineering, or a related technical field * Strong ownership mindset and ability to operate in a fast-moving early-stage environment
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The AI Quant: Autonomous Alpha Engine for Funds and Traders.