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Obsidian in San Francisco is seeking engineers to build and operate LLM agents in production. You will ship an agent that real users depend on, measure whether changes improve or degrade it, and ensure it can run long beyond a single request—from scheduled jobs to cloud sandboxes.
You will understand how agents are adopted inside the company, and focus on the less-talked-about layers: internal monoagents wired to company data, shared memory, reusable skills and playbooks, and how tools and MCP
Obsidian in San Francisco is seeking engineers to build and operate LLM agents in production. You will ship an agent that real users depend on, measure whether changes improve or degrade it, and ensure it can run long beyond a single request—from scheduled jobs to cloud sandboxes.
You will understand how agents are adopted inside the company, and focus on the less-talked-about layers: internal monoagents wired to company data, shared memory, reusable skills and playbooks, and how tools and MCP