AI-Driven Software Engineer for Production Dev Tools

IMC Trading; Illinois; On-site; USD 180,000 - 225,000; Full time

Job summary

IMC Trading is seeking an Agentic AI engineer to help embed AI into production-critical developer workflows in Illinois. You’ll build agents, MCP servers, and evaluation loops to ensure AI-generated code is reliable, auditable, and fast to ship.

You will collaborate with engineers and platform teams to implement changes across large codebases, develop retrieval systems for up-to-date context, and create pipelines to measure AI-generated changes.

Qualifications

• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems).
• 5+ years of professional software engineering experience.
• Proficiency in a high-level programming language (Java or Python preferred).
• Experience contributing to developer-facing or production systems.
• Curiosity about AI/LLM application patterns.

Responsibilities

• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases.
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts.
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review).
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic.
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows.

Skills

BS in CS

5+ years software engineering

Java or Python

Production systems

AI/LLM curiosity

Strong communication

Education

BS+ in Computer Science

Tools

Java

Python

Job description

IMC Trading is seeking an Agentic AI engineer to help embed AI into production-critical developer workflows in Illinois. You’ll build agents, MCP servers, and evaluation loops to ensure AI-generated code is reliable, auditable, and fast to ship.

You will collaborate with engineers and platform teams to implement changes across large codebases, develop retrieval systems for up-to-date context, and create pipelines to measure AI-generated changes.