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.