Senior AI Engineer - Production GenAI & AI Infrastructure

radixexperienced

Chicago (IL)

On-site

USD 140,000 - 230,000

Full time

5 days ago
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Job summary

radixexperienced is seeking a Quantitative Technologist to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. You will build production-grade AI and ML platforms, and accelerate automation across data prep, modeling, and deployment.

The role requires strong Python, 5+ years of experience, and hands-on AI/LLM production work with LangChain and related tools.

Qualifications

  • 5+ years of overall technical experience.
  • 2+ years designing and building Generative AI/LLM applications in production.
  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or related field.

Responsibilities

  • 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.

Skills

Python proficiency
AI lifecycle understanding
Prompt engineering
Software engineering
LangChain knowledge

Education

CS/DS/ML degree

Tools

LangChain
LangGraph
AutoGen
LlamaIndex

Job description

radixexperienced is seeking a Quantitative Technologist to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. You will build production-grade AI and ML platforms, and accelerate automation across data prep, modeling, and deployment.

The role requires strong Python, 5+ years of experience, and hands-on AI/LLM production work with LangChain and related tools.

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