AI Engineer: Agent Tools for Trading Systems

Tradermath; Chicago (IL); Hybrid; USD 175,000 - 225,000; Full time

Benefits offered by this job

Hybrid workplace model

Well-being benefits

Free breakfast and lunch

Job summary

Chicago Trading Company (CTC) is seeking engineers to build agent tooling used by engineers, quants, and traders. You will bring new models, coding agents, and harnesses into the evolving ecosystem, and build the infrastructure that supports them, including inference, configuration, integrations, tracing, and access controls.

You will also develop AI tools and interfaces for specific roles and workflows, improve performance and reliability, and prototype new uses for agents in research,

Qualifications

• Experience building software with LLMs and agents, including tools and model APIs.
• Familiarity with coding agents and tradeoffs between models, providers and harnesses.
• Proficiency in Python, C++, or Java for production-grade software.
• Experience delivering software used by engineers or end users.

Responsibilities

• Build agent tooling used by engineers, quants, and traders.
• Introduce new models, coding agents, and harnesses as the ecosystem evolves.
• Develop infrastructure for inference, configuration, integrations, tracing and access controls.
• Create AI tools and interfaces for various roles and workflows.
• Improve performance and reliability of systems from services to model inference.
• Prototype agent uses in research, simulation, and trading.

Skills

LLM/Agent development

Coding agents

Python

C++

Java

End-user software

Cross-functional collaboration

Ambiguity to production

Hands-on AI projects

Tools

Python

C++

Java

Job description

Chicago Trading Company (CTC) is seeking engineers to build agent tooling used by engineers, quants, and traders. You will bring new models, coding agents, and harnesses into the evolving ecosystem, and build the infrastructure that supports them, including inference, configuration, integrations, tracing, and access controls.

You will also develop AI tools and interfaces for specific roles and workflows, improve performance and reliability, and prototype new uses for agents in research,