AI Research Engineer — Memory & Context

Role overview Research and build memory capabilities that help AI agents retain useful information and work reliably across extended tasks. The role covers storage, context handling, retrieval and ways for multiple agents to share information in complex environments.

Responsibilities - Investigate and implement memory systems for long-running AI agents. - Develop approaches to store and retrieve information using vector storage and semantic search. - Create methods for compressing context while preserving relevant details. - Support shared memory that enables coordination between multiple agents. - Help make agent behavior persistent and dependable across complex workflows.

Requirements - The available description does not specify required experience, education or technical qualifications.

Benefits and work setup - Full-time position. - Remote work.