AI Content Engineer

About 7Vals

7Vals is a collective of passionate innovators and builders applying best practices to ensure awesomeness. We build disruptive enterprise software products. Were now developing the next generation of products for IT Departments across IT Asset Management IT Service Management Security & Patch Management and CMDB combining strong technical foundations with modern automation and AI capabilities.

Role Overview

Were looking for an AI Content Engineer to build and scale an AI-native content engine that positions 7Vals as a trusted authority for IT leaders across modern discovery platforms.

This role focuses on designing and operating a content production system powered by AIone that consistently produces high-quality practitioner-grade content optimized for visibility across LLMs (ChatGPT Claude Gemini etc.) search engines and AI-generated answers.

You will not just create content you will build the system that creates content. This includes designing pipelines prompt frameworks evaluation loops and scalable workflows that enable high-quality output at speed.

Youll work closely with marketing product and content teams to ensure that everything produced reflects real-world IT use cases across ITAM ITSM Patch Management and CMDB and stands out in an era where generic content is ignored by both users and AI systems.

This is an ideal role for someone who thinks in systems understands AI deeply and cares about producing content that is technically credible discoverable and impactful.

Who You Are

Systems-first builder: Thinks in workflows pipelines and scalable systems. Designs repeatable processes instead of one-off outputs.

AI-native operator: Deeply familiar with LLMs and how they behave. Understands prompting evaluation failure modes and how to improve output quality systematically.

Technically grounded: Has exposure to IT environments or enterprise software and can distinguish between surface-level and practitioner-grade content.

Editorially sharp: Strong writing instincts with the ability to identify high-quality credible content versus generic AI-generated output.

Quality-obsessed: Maintains high standards and actively identifies and eliminates low-quality or sloppy outputs from systems and workflows.

Outcome-driven: Focused on measurable visibility LLM citations search presence and inbound demand not just content volume.

Key Responsibilities

Build AI-Native Content SystemsDesign develop and maintain scalable content production pipelinesfrom research and ideation to drafting editing publishing and performance tracking.

Create High-Impact Content at ScaleProduce and/or orchestrate the production of high-quality practitioner-grade content that addresses real IT challenges and ranks across both search engines and LLM-generated responses.

Optimize for LLM & Search VisibilityContinuously refine content structures formats and strategies to improve visibility in AI-generated answers search rankings and knowledge retrieval systems.

Own Content Architecture & TaxonomyDevelop and manage topic clusters internal linking strategies schema and content taxonomy to strengthen authority and discoverability.

Build Prompting & Evaluation FrameworksCreate reusable prompt libraries evaluation loops and quality control mechanisms to ensure consistent high-quality AI outputs.

Collaborate Across TeamsPartner with content creators product teams and marketing to translate insights product knowledge and domain expertise into scalable content assets.

Measure Learn and Iterate Track performance metrics such as LLM citation rates AI visibility search rankings and engagement. Continuously improve systems based on data and feedback.

Required Skills & Qualifications

• 3 years of experience in or adjacent to IT (IT operations MSP IT consulting or enterprise SaaS)
• 1 year of hands-on experience building workflows with LLMs (e.g. ChatGPT Claude Gemini Perplexity APIs or tools)
• Strong understanding of prompt engineering AI workflows and output evaluation techniques
• Proven ability to design and operate multi-step AI-driven systems in production environments
• Strong writing and editorial judgment with a focus on clarity credibility and depth
• Experience with content operations: CMS internal linking schema taxonomy and analytics
• Basic scripting skills (Python JavaScript or similar) to support workflow automation
• Strong attention to detail and commitment to high-quality output

Nice to Have

• Experience in B2B SaaS or enterprise software environments
• Prior experience building SEO-driven content clusters that improved search performance
• Familiarity with IT domains such as ITAM ITSM CMDB or enterprise IT workflows
• Experience integrating AI systems into marketing or content operations
• Exposure to analytics tools for tracking content performance and attribution