AI Automation Engineer: Build Reliable Workflows

Go-Media

Raleigh (NC)

On-site

USD 85,000 - 125,000

Full time

11 days ago

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Job summary

GO Media in Raleigh, NC is hiring an AI Systems & Automation Specialist to run the plumbing behind our AI workflows. You will replace manual, error-prone tasks with reliable automations and data pipelines, while evaluating new AI tools and discerning vendor value.

This mid-level role welcomes graduates in engineering or CS and those with 2–4 years of software, IT, data analytics, or technical operations experience. On-site collaboration and a bias toward shipping are key.

Qualifications

  • Bachelor's degree in a technical field or equivalent demonstrated experience.
  • Proficiency in Python for automation and data work.
  • Comfort with APIs, webhooks, authentication, and cross-system integrations.
  • SQL and hands-on experience with messy data.
  • Practical experience with modern AI tools and LLM APIs.
  • Ability to clearly explain tradeoffs to non-technical colleagues.

Responsibilities

  • Build and maintain automation pipelines across tools (PM, CRM, ads, file storage, communication).
  • Develop internal tools and scripts to eliminate recurring manual work.
  • Ensure reliability with monitoring, error handling, and documentation.
  • Stay current on AI models and pilot structured experiments with clear success criteria.

Skills

Python
APIs
SQL
LLM APIs
Communication
Curiosity
Team collaboration

Education

Bachelor's degree in CS/Engineering/Data Science or related

Tools

Zapier
Make
n8n
Power Automate
Looker Studio
Power BI
Tableau

Job description

GO Media in Raleigh, NC is hiring an AI Systems & Automation Specialist to run the plumbing behind our AI workflows. You will replace manual, error-prone tasks with reliable automations and data pipelines, while evaluating new AI tools and discerning vendor value.

This mid-level role welcomes graduates in engineering or CS and those with 2–4 years of software, IT, data analytics, or technical operations experience. On-site collaboration and a bias toward shipping are key.

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