**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
Visa sponsorship is not available for this role.
