Software Engineer – AI Powered Engineering
At a glance
Mid-level Software Engineering role at IMC. Chicago · $180,000–$225,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build agents, MCP servers and related services that suggest and make changes across large codebases
- Develop retrieval tools that give agents and engineers current, accurate context from code and design materials
- Create compile, test and evaluation pipelines to check generated code for quality, safety and performance
- Apply concurrency, telemetry and configuration practices to keep AI-generated changes reliable and efficient
- Run experiments with teammates to assess and improve AI-based engineering workflows
What you bring
- At least five years of professional software engineering experience
- A bachelor's degree or higher in computer science or a related discipline, with strong systems and programming fundamentals
- Fluency in a high-level language, preferably Java or Python
- Experience contributing to software for developers or production environments
Who this fits
This role suits an engineer interested in learning AI and LLM application patterns, whether or not you have worked with them before. You’ll work closely with engineers and platform teams in a collaborative setting. The position is based in Chicago.
From the employer
IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.
Your Core 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
Your Skills & Experience:
- BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
- 5+ year 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 and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
- Strong communication skills; comfortable working with engineers in a fast, collaborative environment
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range$180,000—$225,000 USDAbout Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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