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Software Engineer – AI Powered Engineering

IMC Trading · Chicago, IL · Development (Group)

Posted Sep 30, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you made a developer tool that people actually adopted.

What they are checking: Focus on pragmatic, high-impact tooling that engineers choose to use.

Tell me about a production incident you were part of. What did you change afterward?

What they are checking: Respect for production reliability, which matters when agents touch critical systems.

What would you do

An agent's change passes all tests but introduces a subtle concurrency bug. How would your pipeline catch that next time?

What they are checking: Thinking about gates for concurrency and performance-sensitive paths, which the posting highlights.

Experienced engineers on a trading team don't trust the AI tool. How would you win them over?

What they are checking: Empathy and evidence-based persuasion rather than pushing adoption by mandate.

About the work

How would you build an evaluation loop that tells us whether AI-generated code changes are actually good?

What they are checking: Whether they think beyond compiles-and-passes to style, safety, performance and reviewer acceptance.

What is an MCP server, and how would you design one that gives an agent safe access to a large codebase?

What they are checking: Hands-on understanding of agent tooling and the permission and safety concerns around it.

How would you build retrieval so an agent gets the right context from a codebase with millions of lines?

What they are checking: Practical knowledge of indexing, chunking, symbols and freshness in code retrieval.

How do you make AI-generated changes auditable, so someone can later see why a change was made?

What they are checking: Awareness that production-critical trading systems need traceability, not just speed.

How would you run an experiment to compare two prompting or agent strategies fairly?

What they are checking: Experimental rigor, including fixed task sets, baselines and noise from nondeterminism.

What telemetry would you add to an agent platform to know if it's helping or hurting?

What they are checking: Their sense for measuring real outcomes like revert rates and review time, not vanity metrics.

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The full job description

As published by IMC Trading.

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 Please note that immigration sponsorship is not offered for this specific opening. 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 USD About 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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