Principal AI Agent & Distributed 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 Distributed, Systems & Co., an R&D shop focused on distributed AGI and AI safety research, developing graphsub, a graph-native service mesh for agents. His background includes 4 years at Goldman Sachs working on reactive dependency-graph systems, collateralized mortgage obligations, interest rate products, and CDS lifecycle management, where he was promoted from tech into structuring. Recent achievements include building a 15-service LLM stack with zero downtime, fine-tuning Llama-3.1-8B for hallucination reduction, and developing Rust daemons and TUIs, with over 3k GitHub contributions. He is actively involved in open-source projects like agents.erl, openai-mcp, fortitude, and dspy.ex. Arthur is seeking IC or research roles in AI labs, defense tech, or startups focused on agentic systems, foundation model infrastructure, or AI safety tooling. He is proficient in running SFT and RL experiments, training models, and is eager to train agentic models with large GPU clusters, leveraging his two years of experience in building agentic scaffolding and scaling multi-agent systems.