Software Engineer – AI Powered Engineering
IMC · Not provided by source
MeritLog read this listing from IMC's Greenhouse job board and last checked it on September 9, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- $180,000 – $225,000
- Location
- Chicago, United States
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at IMC
IMC has 171 live roles in MeritLog’s catalog across 10 job families, and 51 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
IMC concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
What they're asking for
- BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)Education
- 5+ year of professional software engineering experienceExperience
- Proficiency in a high-level programming language (Java or Python preferred)SkillPreferred
- Experience contributing to developer-facing or production systemsSkill
- Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yetSkill
- Strong communication skills; comfortable working with engineers in a fast, collaborative environmentSkill
- Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)SkillPreferred
- Experience with retrieval systems (vector search, embeddings, or hybrid approaches)SkillPreferred
- Familiarity with compiler/static analysis or large-scale refactoring toolsSkillPreferred
- Interest in customizing or fine-tuning open-weight modelsSkillPreferred
- Knowledge of model-serving or evaluation infrastructureSkillPreferred
- Impact at scale: Your work will help bring AI directly into production developer workflowsSkillPreferred
- Growth: You’ll gain hands-on experience with cutting-edge AI systems while learning from specialists in AI, systems, and developer productivitySkillPreferred
- Collaboration: Join a team that works closely across engineering disciplines to solve high-value, pragmatic problemsSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. What You’ll Do • 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 What You Bring • 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 Nice to Have • Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar) • Experience with retrieval systems (vector search, embeddings, or hybrid approaches) • Familiarity with compiler/static analysis or large-scale refactoring tools • Interest in customizing or fine-tuning open-weight models • Knowledge of model-serving or evaluation infrastructure Why This Role at IMC • Impact at scale: Your work will help bring AI directly into production developer workflows • Growth: You’ll gain hands-on experience with cutting-edge AI systems while learning from specialists in AI, systems, and developer productivity • Collaboration: Join a team that works closely across engineering disciplines to solve high-value, pragmatic problems 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.