Job Details: Job Title: Content Engineer (AI-Powered Systems)
Location: Lincolnshire, IL (100% Remote/Hybrid)
Duration: 9+ Months
Type: Full-Time, Contract
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 data.
Top 5-7 Skills: - AI-driven content systems & automation workflows
- Prompt engineering (drafting, testing, refining for generative AI)
- Structured content generation & governance models
- Quality monitoring and iterative system logic improvement
- Strong written communication in English (system documentation)
- CMS platforms (e.g., Adobe Experience Manager) - preferred
- AI agents (Gemini, Copilot, Claude) & workflow automation tools - preferred
Requirements for the role: - 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.
Education and Experience: - Education: Bachelor's degree in Computer Science, Information Systems, Digital Marketing, Engineering, or a related field (or equivalent practical experience).
- Experience: Minimum of 2 years of experience working with AI-driven content systems, automation workflows, or structured content generation.
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.