AI Engineer

Radix Trading; Chicago (IL); On-site; USD 140,000 - 240,000; Full time

Benefits offered by this job

Quarterly bonus

Job summary

Tradermath is seeking a Quantitative Technologist to enhance live trading systems and AI research infrastructure. You will contribute to alpha generation and automation across the AI/ML lifecycle, including production-grade AI applications and agentic workflows.

The role emphasizes building scalable AI tools, integrating advanced frameworks, and ensuring performance, safety, and cost considerations in a fast-paced trading environment.

Qualifications

• 5+ years of overall technical experience.
• 2+ years building Generative AI/LLM applications in production.
• Strong proficiency in Python and full AI/ML lifecycle.

Responsibilities

• Build and accelerate the firmwide AI ecosystem and infrastructure.
• Identify workflow opportunities to introduce AI-first systems and automation.
• Design, deploy, and evaluate production-grade AI applications and workflows.

Skills

Python

Software engineering

AI/ML lifecycle

Prompt engineering

System design

Education

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

Tools

LangChain

LangGraph

AutoGen

LlamaIndex

Job 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

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.