Applied AI Engineer — Build Scalable AI Systems

Wehrtyou; Greater London; On-site; GBP 151,000 - 227,000; Full time

Job summary

Hudson River Trading is seeking an accomplished software engineer to build scalable AI infrastructure and evaluation environments for language models and AI agents. You will contribute to research tooling, experimentation platforms, and deployment workflows that scale across teams.

The role spans research and production engineering, focusing on safe, auditable AI systems, rigorous measurement, and collaboration with cross‑functional teams to operationalize new capabilities.

Qualifications

• Bachelor's degree in CS, Engineering, or related field, or equivalent experience.
• Strong Python proficiency.
• Excellent software design, debugging, and problem‑solving skills.
• Experience building and operating substantial software systems.
• Demonstrated engagement with modern AI systems, tools, or research.

Responsibilities

• Build scalable infrastructure for training, evaluating, and operating language models and AI agents.
• Develop research environments, evaluation systems, and experimentation platforms to measure and improve agent performance.
• Improve model and agent capabilities through post‑training, reinforcement learning, prompting, tool design, and workflow optimization.
• Design sandboxing, policy enforcement, monitoring, and safeguards for autonomous systems.
• Collaborate with teams across HRT to identify work AI can newly perform, develop effective solutions, and turn successful experiments into durable systems.
• Evaluate new models, techniques, and products; decide when to build, buy, or adapt them.
• Share technical knowledge and establish best practices for AI at HRT.

Skills

Python

Software design

Debugging

Systems engineering

AI systems knowledge

Education

Bachelor's degree in CS/Engineering

Tools

Linux

C++

TypeScript

Job description

Hudson River Trading is seeking an accomplished software engineer to build scalable AI infrastructure and evaluation environments for language models and AI agents. You will contribute to research tooling, experimentation platforms, and deployment workflows that scale across teams.

The role spans research and production engineering, focusing on safe, auditable AI systems, rigorous measurement, and collaboration with cross‑functional teams to operationalize new capabilities.