About The Position
As a Quantitative 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.
Requirements
- 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
- Self-motivated and highly productive, with a strong sense of ownership and a bias toward action
Nice To Haves
- Prior experience in quantitative finance is not required
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
