Software Engineer – AI Powered Engineering

<p>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.</p> <p><br><strong>What You’ll Do</strong></p> <ul> <li>Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases</li> <li>Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts</li> <li>Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)</li> <li>Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic</li> <li>Collaborate with teammates on experiments to evaluate and improve AI-driven workflows</li> </ul> <p><strong>What You Bring</strong></p> <ul> <li>BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)</li> <li>Proficiency in a high-level programming language (Java or Python preferred)</li> <li>Experience contributing to developer-facing or production systems</li> <li>Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet</li> <li>Strong communication skills; comfortable working with engineers in a fast, collaborative environment</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)</li> <li>Experience with retrieval systems (vector search, embeddings, or hybrid approaches)</li> <li>Familiarity with compiler/static analysis or large-scale refactoring tools</li> <li>Interest in customizing or fine-tuning open-weight models</li> <li>Knowledge of model-serving or evaluation infrastructure</li> </ul> <p><strong>Why This Role at IMC</strong></p> <ul> <li>Impact at scale: Your work will help bring AI directly into production developer workflows</li> <li>Growth: You’ll gain hands-on experience with cutting-edge AI systems while learning from specialists in AI, systems, and developer productivity</li> <li>Collaboration: Join a team that works closely across engineering disciplines to solve high-value, pragmatic problems</li> </ul> <p><em>Please note that immigration sponsorship is not offered for this specific opening.</em></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>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.&nbsp;Please visit <a href="https://www.imc.com/us/careers/benefits">Benefits - US | IMC Trading</a> for more comprehensive information.</p></div><div class="title">Salary Range</div><div class="pay-range"><span>$180,000</span><span class="divider">&mdash;</span><span>$200,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Us</strong></p> <p>IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.</p> <p>&nbsp;</p></div>