Integrations & Connectors Engineer

Syntic AI, Inc.

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Syntic AI, Inc. is seeking a backend engineer to design and build the runtime that lets AI agents plan tasks, call tools, remember context, and recover from failures. You will focus on agent orchestration and the backend systems that make agent behavior safe, observable, and interruptible.

In this role, you will work with TypeScript or Python, shape failure modes, and ensure production-grade deployments for LLM-powered applications. Collaboration across teams and attention to safety will be key.

Qualifications

  • Experience building LLM-powered applications or agents for production use.
  • Strong backend engineering skills in TypeScript or Python.
  • Understanding of failure modes in models that use tools.

Responsibilities

  • Design and build systems for coordinating agent workflows and tool calls.
  • Improve task completion through measurable evaluations.
  • Make agent behavior observable so its execution can be understood.
  • Support interruption and recovery in agent workflows.
  • Address safety concerns in tool-using agent behavior.

Skills

Backend engineering
LLM-powered apps

Tools

TypeScript
Python

Job description

Role overview

Build the runtime that enables AI agents to plan tasks, use tools, retain relevant memory, and recover from failures. The work centers on agent orchestration and the backend systems that make agent behavior effective, observable, interruptible, and safe.

Responsibilities
  • Design and build systems for coordinating agent workflows and tool calls.
  • Improve task completion through measurable evaluations.
  • Make agent behavior observable so its execution can be understood.
  • Support interruption and recovery in agent workflows.
  • Address safety concerns in tool-using agent behavior.
Requirements
  • Experience building LLM-powered applications or agents for production use.
  • Strong backend engineering skills in TypeScript or Python.
  • Understanding of failure modes in models that use tools.
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