Content Engineer

Spectraforce
United States
12 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Adobe Experience Manager Artificial Intelligence Information Systems Document Management Systems Digital Content Enterprise Content Management Microsoft Copilot Prompt Engineering Agentic-AI Information Technology Claude Google Gemini

Job description

The Content Engineer is responsible for designing, building, and maintaining AI-powered systems that automate the creation of use case content at scale. Working closely with content, governance, and digital experience teams, this role ensures AI-generated outputs are consistent, high quality, and aligned with approved content strategy, structure, and governance standards. This role plays a critical part in enabling scalable, future-proof content production without increasing manual effort, while continuously improving system performance based on observed quality and operational, Design, build, and maintain AI tools, agents, prompts, and workflows that generate use case content in alignment with defined content standards and governance rules

  • Define and manage prompt logic, system rules, and required semantic elements to ensure consistency in tone, structure, and accuracy across all AI-generated use cases
  • Monitor AI output quality and identify recurring issues or pattern failures surfaced through content reviews and analytics
  • Iterate on prompts, workflows, and system logic to improve accuracy, reduce rework, and support increased content volume
  • Partner with Content Leads, Content Creators, and governance stakeholders to translate content strategy and policy decisions into system behavior
  • Ensure AI systems remain adaptable as new use case types, industries, or business priorities are introduced
  • Document system rules, prompts, workflows, and changes to support auditability, knowledge transfer, and long-term sustainability
  • Support the broader use case content pipeline by ensuring AI systems are reliable, repeatable, and scalable

Requirements

Bachelor’s degree in computer science, Information Systems, Digital Marketing, Engineering, or a related field or equivalent practical experience

  • Minimum of 2 years of experience working with AI-driven content systems, automation workflows, or structured content generation
  • Strong analytical and problem-solving skills with high attention to detail
  • Experience in drafting, testing, and refining prompts for generative AI tools to ensure AI-generated outputs adhere to brand voice, accuracy, and quality standards
  • Strong written communication skills in English, with the ability to document systems clearly and precisely.

Preferred Requirements:

  • Experience working with content governance models, structured content, or enterprise content systems
  • Experience designing systems that capture performance data (analytics) and feed it back into the content creation process for continuous optimization
  • Familiarity with CMS platforms (e.g., Adobe Experience Manager) and digital content workflows
  • Understanding of prompt engineering, AI agents, or workflow automation tools
  • Ability to manage multiple initiatives while iterating quickly based on feedback and quality signals
  • Ability to understand how different technology tools, content types, and team processes fit together
  • Self-directed, curious, and comfortable experimenting to improve system performance
  • Strong familiarity with Gemini, Copilot, Claude

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