AI Assistant Tools Engineer

  • Posted 22 hours ago | Updated 22 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

AI Development tools
Cursor
Copilot
Windsurf
Codex
Linux
Python
DevOps platform

Job Details

Role: AI Assistant Tools Engineer

Location: Remote

Mode of Hire: Long-Term W2 Contract

Responsibilities

  • Administer, configure, and support AI Code Assistant tools (Cursor, Windsurf, Copilot, Codex), including onboarding, policy setup, usage insights, and troubleshooting.
  • Collaborate with vendors to ensure smooth product updates, feature rollouts, and platform enhancements.
  • Develop automation scripts (Python or Bash) to streamline reporting, data collection, and platform operations.
  • Support basic DevOps platform tasks related to GitHub Enterprise, GitHub Actions, and similar tools.
  • Monitor usage trends, adoption metrics, and performance of AI developer tools across the organization.
  • Automate infrastructure provisioning using configuration management and scripting tools.
  • Create clear documentation, FAQs, onboarding guides, and quick-start resources to scale adoption.
  • Partner with senior engineers on complex issues or platform-level improvements.
  • Work directly with developer teams to support tool rollout, training, and socialization.

Required Skills & Experience

  • 3–5 years of experience in engineering, DevOps, platform operations, or IT support.
  • Hands-on experience with AI developer tools such as Cursor, Windsurf, Copilot, or similar assistants.
  • Strong background in Linux/Unix administration and scripting using Python or Bash.
  • Working knowledge of GitHub, Git workflows, and core developer toolchains.
  • Understanding of REST APIs and ability to use them for queries, automation, or reporting.
  • Excellent communication skills for working directly with developers, gathering requirements, and driving adoption.
  • Strong troubleshooting mindset and ability to learn new platform concepts quickly.

Desired Skills

  • Exposure to DevOps tools such as GitHub Actions, Jenkins, Artifactory, or similar.
  • Experience with dashboards, analytics, or usage metrics.
  • Basic understanding of cloud services or containerization (AWS, Docker, etc.).
  • Interest in AI tooling, developer productivity platforms, and automation frameworks.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.