Applied AI Engineer
About this role
Engineers who thrive on turning ambiguous problems into working systems and navigating diverse technical domains will find a natural fit within this group. Hudson River Trading maintains an Applied AI team dedicated to accelerating quantitative research, software development, and core firm operations through advanced AI models and agentic frameworks. Members combine commercial and open-source technology with proprietary infrastructure to build scalable systems across the entire technology stack.
Daily work involves developing model training infrastructure, designing agent evaluation platforms, and implementing robust safety guards for autonomous operations. The team collaborates closely with various internal groups to discover new automation use cases and scale successful experiments into production workflows. Ideal candidates bring strong software engineering foundations, curiosity about autonomous system limitations, and a pragmatic approach to bridging research with robust production environments.
What you will do
- Construct scalable infrastructure to train, evaluate, and operate language models and autonomous agents.
- Develop research environments and experimentation platforms to measure and enhance agent performance.
- Refine model capabilities through post-training, reinforcement learning, prompting, and workflow optimization.
- Design safety safeguards such as sandboxing, policy enforcement, and monitoring for autonomous systems.
- Partner with internal teams to identify AI use cases, build solutions, and transition experiments into durable systems.
- Evaluate emerging models and tools to determine whether to build, purchase, or adapt them.
What you need
- Hold a bachelor's degree in Computer Science, Engineering, or a related technical field, or possess equivalent practical experience.
- Demonstrate strong proficiency in Python programming.
- Exhibit excellent software design, debugging, and analytical problem-solving capabilities.
- Bring practical experience building and operating substantial software systems.
- Show documented engagement with modern AI systems, tools, or research.
Nice to have
- Machine learning research or engineering, including post-training, fine-tuning, reinforcement learning, or alignment
- AI-agent architecture, evaluation, or tool-use environments
- Distributed systems, model serving, orchestration, or high-throughput research infrastructure
- Security sandboxing, policy enforcement, adversarial testing, or governance for AI systems
- Linux, systems performance, networking, C++, or TypeScript
Benefits
- Discretionary performance-based bonuses
- Competitive benefits package
Skills and tech stack
Questions candidates ask
What locations are available for this position?
This position is available in London, United Kingdom; New York, NY, United States; and Singapore.
What is the compensation range for the role?
The estimated base salary range is 200,000 to 300,000 USD per year or local equivalent. The final base pay may vary based on individualized factors such as location, knowledge, skills, and experience.
What does the Applied AI team actually build?
The team builds AI systems that help researchers and developers iterate faster, automate complex work, and enable autonomous exploration. Their work spans AI infrastructure, research engineering, post-training, agent evaluation, alignment, and deployment.
The application is on the official Hudson River Trading careers page.
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