Role at a glance
- Job function
-
AI & Data Generative AI Engineering AI Search & Retrieval Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Chicago, United States
- Work arrangement
- On-site
- Experience
- 5+ year of professional software engineering experience
- Education
- BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
- Visa support
- No Sponsorship
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Role Summary
The Software Engineer will help build agentic AI integrations for developer workflows supporting production-critical systems. The role focuses on making AI-generated code reliable, auditable, and ready to ship, in collaboration with engineers and platform teams.
What You'll Do
- Implement agents, MCP servers, and supporting services that propose and apply changes to large codebases.
- Develop retrieval systems that provide agents and developers with accurate, up-to-date context from codebases and design artifacts.
- Build compile, test, and evaluation pipelines, including static analysis, style and safety checks, performance gates, and code review.
- Apply practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to improve the reliability and...
- Collaborate with teammates on experiments to evaluate and improve AI-driven workflows.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS+ in Computer Science or a related field; strong fundamentals in algorithms, data structures, and systems; 5+ years of professional software engineering experience; experience contributing to developer-facing or production systems; curiosity and eagerness to learn AI/LLM application patterns; strong communication skills and comfort working collaboratively.
Preferred
- Proficiency in a high-level programming language; Java or Python preferred.
Original job description
Content provided by the employer
Original job description
Content provided by 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.
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.
About the company
IMC Trading
Large Enterprise
IMC Trading is a global proprietary trading firm that leverages technology and quantitative research to optimize trading strategies across a variety of asset classes, including equities, commodities, and derivatives. Founded in 1989 and headquartered in Amsterdam, IMC operates with a commitment to innovation and collaboration, fostering an environment where talented professionals can thrive. The firm is dedicated to responsible trading practices and actively engages in market-making to ensure liquidity and efficiency in financial markets worldwide. With a focus on continuous improvement and data-driven decision-making, IMC Trading is a leader in the fast-paced world of trading and investment.