AI Research Engineer — Memory & Context

Role overview Research and implement memory capabilities for AI agents that need to work over extended periods. The work centers on how agents store, compress, retrieve, and share context so that useful information remains available across tasks and coordinated agents.

Responsibilities - Investigate and build memory systems for long-running agents. - Work on vector storage approaches for retaining information. - Develop context compression methods to make stored information more manageable. - Improve semantic retrieval so agents can find relevant prior context. - Explore shared memory designs that support coordination among multiple agents.

Benefits and work setup - Full-time, remote role.