Software Engineer - Applied AI
At Hudson River Trading (HRT) the Applied AI team’s mission is to increase the speed and quality of work across the firm’s most consequential workflows. We build AI systems that help researchers and developers iterate faster, automate increasingly complex work, and enable autonomous exploration at a scale that would not otherwise be possible.
We apply frontier models and agentic systems to how quantitative research, software development, and other critical work at HRT gets done. We combine cutting-edge commercial and open-source models and tools with infrastructure, research, and systems of our own.
Our work spans the full stack required to make this successful: AI infrastructure, research engineering, post-training and reinforcement learning, agent evaluation, security and alignment, and deployment into real workflows.
Responsibilities
- Building scalable infrastructure for training, evaluating, and operating language models and AI agents
- Developing research environments, evaluation systems, and experimentation platforms that allow us to measure and improve agent performance
- Improving model and agent capabilities through post-training, reinforcement learning, prompting, tool design, and workflow optimization
- Designing sandboxing, policy enforcement, monitoring, and other safeguards for incre
