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Prompt Engineer

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Onsite

Prompt Engineer

Forbes Technical Consulting

Prompt Engineer

Skills

AINo-code Automations

4 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

$24 – $26 / hour

Location:

Chicago, IL, USA

Work mode:

Onsite

Published on:

18 October 2026

What they need


Prompt Engineer

Duration : 4+ months

Location: Chicago, downtown - HYBRID is preferred, but remote candidates will also be considered

Responsibilities

  • Design, develop, and deploy AI tools for hotel colleagues, managing a backlog of about 60 tools and delivering roughly 30 every eight weeks.
  • Build, test, and optimize Custom GPTs, AI skills, prompt-based solutions, and automated workflows on ChatGPT, OpenAI, and Microsoft Copilot.
  • Build, configure, and support Microsoft Copilot Agents that automate business processes.
  • Partner with various teams to spot AI opportunities and choose the right solution for each use case.
  • Run user testing, validation, and prompt refinement to ensure tools meet requirements and produce high-quality output.
  • Collect user feedback, track adoption, troubleshoot problems, and keep improving deployed solutions.
  • Work with technical teams on enterprise AI platforms, agent ecosystems, APIs, and larger AI products.
  • Look for further ways to improve hotel operations through automation and emerging technologies.

Requirements

  • Hands-on experience building AI solutions with ChatGPT, OpenAI, Custom GPTs, or Microsoft Copilot.
  • Strong prompt engineering skills, with the ability to turn business ideas into working AI solutions.
  • Experience building, testing, refining, and deploying AI workflows, agents, automations, and prompt-based applications.
  • Ability to understand business requirements and recommend the best-fit AI technology.
  • Strong analytical, problem-solving, troubleshooting, and critical-thinking skills.
  • Excellent written and verbal communication, including translating operational needs into technical solutions.
  • Experience gathering user feedback, monitoring adoption, and improving AI products accordingly.
  • Proven ability to manage multiple projects at once, and to collaborate with business stakeholders, product teams, and technical partners.

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