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# AI Engineer

- **Company:** Radix Trading LLC
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Algorithmic Trading, Data Analysis, C++ (Programming Language), Programming Tools, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Llamaindex, Generative AI, Agentic-AI, Information Technology, Low Latency, AutoGen, Machine Learning Operations, C++14
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-chicago-il--b6be0e68-6bb4-46f2-beef-c8a20d226352

## About the Role

Artificial Intelligence (AI), Trading Systems, Machine Learning, C++ Programming Language, Simulation, Data Analysis, Ecosystems, Artificial Intelligence (AI), Machine Tool, Workflow Analysis, * 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

## Description

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