AI Engineer — Cutting-Edge Financial Research

What You'll Be Doing

As an AI Engineer, you will build the next generation of agentic AI research infrastructure. Working closely with our quantitative research team, you will push the frontiers of modern AI — with the rare advantage of real financial market feedback as your ground truth.

• Design and build a multi-agent framework for quantitative finance research
• Develop tools and deep integrations with AXQ's proprietary research infrastructure
• Research frontier model capabilities and develop rigorous agentic evaluations
• Partner with quantitative researchers to create best-in-class system observability, well-grounded research pipelines, and novel research ideation methods
• High-performing candidates may also contribute directly to model work, including post-training

Who We're Looking For

• 2+ years of experience in software engineering, machine learning, AI research, or a related role
• Bachelor's, Master's, or PhD from a top-tier university in a quantitative or technical discipline (mathematics, physics, statistics, computer science, or similar)
• Strong foundation in statistics and machine learning fundamentals
• Deep, practical knowledge of agentic systems, pre/post-training evaluations, or related AI engineering domains
• Prior experience in quantitative finance is not required

Why This Role

This is a unique opportunity to be at the forefront of AI in finance, where you can make a significant impact by collaborating with top-tier professionals and leveraging real market data to enhance your research initiatives.