SoftwareEngineer–AIPowered

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) 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: Yo