Principal AI Agent Systems Engineer

Arthur Colle is a highly experienced engineer with deep knowledge of OpenAI, Anthropic, and LLM APIs, capable of running models on GPUs and Apple Silicon. He has trained and deployed agentic coding, tool calling, and multi-turn agent models in prior roles. Currently, he runs an R&D shop (Distributed, Systems & Co.) focused on distributed AGI and AI safety research, developing graphsub, a graph-native service mesh for agents. He spent 4 years at Goldman Sachs working on reactive dependency-graph systems (SecDB/Slang) in financial engineering, where he was promoted from technology into structuring. His recent work includes building a 15-service LLM stack with zero downtime, fine-tuning Llama-3.1-8B for hallucination reduction, and developing Rust daemons and TUIs. He is a prolific open-source contributor. Arthur is seeking IC or research roles in AI labs, defense tech, or startups building agentic systems, foundation model infrastructure, or AI safety tooling, with a strong interest in training agentic models with large GPU clusters.