AI Memory & Context Engineer

Syntic AI, Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Syntic AI, Inc. is seeking an experienced Backend Engineer to build runtime capabilities for AI agents, focusing on memory, context, planning, tool calls, and recovery.

You will design reliable orchestration and observable behavior to ensure safe interruption and measurable task performance. You will work on tool-calling systems, agent memory and recovery features, with emphasis on safety and handling failure modes in tool-using models.

Qualifications

• 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.

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.

Job description

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.