AI Memory & Context Engineer

Role overview Build backend runtime capabilities for AI agents, including the use of memory and context alongside planning, tool calls, and recovery. The available information describes a broader agent engineering role, with a focus on reliable orchestration, measurable task performance, and behavior that can be observed and safely interrupted.

Responsibilities - Design and build agent orchestration and tool-calling systems. - Support runtime capabilities for agent memory, planning, and recovery. - Improve task success rates using measurable evaluations. - Make agent behavior observable and interruptible. - Address safety concerns and failure modes in tool-using models.

Requirements - Experience building LLM-powered applications or agents in production. - Strong backend engineering skills in TypeScript or Python. - Understanding of failure modes in tool-using models.