Production AI Systems Engineer for Live Trading

Radix Trading Experienced Job Board

Chicago, New York (IL, NY)

On-site

USD 140,000 - 230,000

Full time

5 days ago
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Benefits offered by this job

Quarterly bonus

Job summary

Radix Trading Experienced Job Board seeks a Quantitative Technologist to enhance live trading systems, research infrastructure, and alpha generation through AI-enabled technology innovations. You will work on production-grade AI applications, safeguarding workflows, and performance optimization across agent systems in a Chicago-based environment.

The role requires deep Python expertise, experience with LangChain / LangGraph, and a strong background in AI lifecycle management, with a focus on

Qualifications

  • 5+ years of technical experience including 2+ years building Generative AI/LLM applications in production.
  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or related field.
  • Strong proficiency in Python and solid software engineering principles.

Responsibilities

  • Build and accelerate the firmwide AI ecosystem and infrastructure for AI-native systems and tooling.
  • Identify workflow opportunities to introduce AI-first systems and automation.
  • Design, deploy, and evaluate production-grade AI applications and advanced agentic workflows (RAG, semantic search, planning, structured outputs).
  • Develop platform-level safeguards including 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 UX.

Skills

Python
Prompt engineering
AI lifecycle
Software engineering principles
Observability

Education

Bachelor's/Master's/PhD in CS/DS/ML

Tools

LangChain
LangGraph
AutoGen
LlamaIndex

Job description

Radix Trading Experienced Job Board seeks a Quantitative Technologist to enhance live trading systems, research infrastructure, and alpha generation through AI-enabled technology innovations. You will work on production-grade AI applications, safeguarding workflows, and performance optimization across agent systems in a Chicago-based environment.

The role requires deep Python expertise, experience with LangChain / LangGraph, and a strong background in AI lifecycle management, with a focus on

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