Content Engineer I

Content Engineer I#26-09685 Lincolnshire, IL

All On-site Job Description 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.