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Open nowPosted 26 hours ago

AI Engineer

Radix Trading8 open roles

Where
Chicago, Illinois, United States; New York, New York, United States
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Your applicationOpen nowAI EngineerRadix Trading · Chicago, Illinois, United States; New York, New York, United States

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Radix Trading's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 26 hours ago

The posting

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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  1. A CV for this posting

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Radix Trading's form

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