Sr. AI Software Engineer - Agent Harness

This engineer will develop the core runtime surrounding AI models, including planning loops, tool integrations, scheduling, execution, retries, and session observability. The team is building a model-independent agent framework designed for efficient hybrid deployment across user devices, edge systems, and cloud services. Responsibilities also include context-window optimization, long-term memory, security controls, and dependable handling of external tools and processes. The engineer will collaborate with SRE and production teams while concentrating on framework development and product delivery. This opportunity suits an experienced systems or platform engineer who enjoys complex asynchronous software, developer tooling, and the practical mechanics of LLM agents.