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AI Engineer

Radix Trading Experienced

Chicago, Illinois, United States; New York, New York, United StatesPosted 8 h agoDirect from company

  • LocationChicago, Illinois, United States; New York, New York, United States
  • Work typeNot stated
  • Posted30 October 2026
  • SourceRadix Trading Experienced's careers page (Greenhouse)
  • Last checked3 h ago on Radix Trading Experienced's careers page
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About the role

As a Quantitative Technologist, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation.

We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.

The Role

- Build and accelerate the firmwide AI ecosystem and infrastructure to support AI-native systems and tooling

- Identify workflow opportunities for developers and researchers to introduce AI-first systems and automation

- Design, deploy, and evaluate production-grade AI applications and advanced agentic workflows (utilizing RAG, semantic search, planning, and structured outputs)

- Develop platform-level safeguards, including bespoke evaluation harnesses, guardrails, approval workflows, tool-use limits, source attribution, and kill switches

- Optimize core metrics across agent systems, focusing on reasoning quality, retrieval accuracy, latency, cost, safety, and user experience

About You

- 5+ years of overall technical experience, including 2+ years of hands-on experience designing and building Generative AI/LLM applications in production

- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related technical field

- Strong proficiency in Python alongside solid software engineering principles and a deep understanding of the full AI/ML lifecycle (data prep through observability)

- Expert familiarity with agentic frameworks and modern AI orchestration and development tools (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) alongside deep practical skills in prompt engineering

- Proven capability to evaluate and select foundational or open-weight models, balancing enterprise trade-offs across capability, context length, hosting, security, and cost

COMPENSATION – Competitive base salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

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