IMC is looking to embed agentic AI directly into the developer workflow for their production-critical systems to make AI-generated code reliable, auditable, and fast to ship.
Requirements
- Proficiency in a high-level programming language (Java or Python preferred)
- Experience contributing to developer-facing or production systems
- 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
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
Other
- 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
- immigration sponsorship is not offered for this specific opening.
