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# Software Engineer - Applied AI

- **Company:** Hudson River Trading
- **Location:** New York, NY, United States
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Software Debugging, Linux, Distributed Systems, Fuzz Testing, Python (Programming Language), Machine Learning, Language Modeling, Software Engineering, Software Systems, TypeScript, Reinforcement Learning, Agentic-AI, Information Technology, Machine Learning Operations
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25304_f5d505a62c51392e74db0cccf5ad1e52

## About the Role

* You are an excellent engineer who can turn ambiguous problems into working systems
 * You learn unfamiliar technical and business domains quickly and enjoy moving between them
 * You care about advancing what AI systems can reliably accomplish
 * You use rigorous measurement and experiment design to guide decisions
 * You are comfortable operating across research and production engineering
 * You communicate clearly and collaborate well with people from different technical backgrounds
 * You are curious about the capabilities, limitations, and risks of increasingly autonomous systems, * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience required
 * Strong Python proficiency required
 * Excellent software design, debugging, and problem-solving skills required
 * Experience building and operating substantial software systems required
 * Demonstrated engagement with modern AI systems, tools, or research required

 * 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
 * Forward-deployed engineering: working closely with users to discover, build, and operationalize new capabilities
 * Linux, systems performance, networking, C++, or TypeScript

## Description

* 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 increasingly capable autonomous systems
 * Partnering with teams across HRT to identify work AI can newly perform, develop effective solutions, and turn successful experiments into durable systems
 * Evaluating new models, techniques, and products, and making informed decisions about when to build, buy, or adapt them
 * Sharing technical knowledge and establishing effective practices for building and working with AI across HRT