AI Development & Deployment Specialist

About America's Truck A ---------- Network (ATAN)
America's Truck A ---------- Network (ATAN) is a fast-growing, national territory-based legal case acquisition and attorney referral network for truck and motor-vehicle-a ---------- cases, built and operated with a strong AI-first, systems-driven culture. We are a lean, remote-first team that moves quickly, documents everything, and uses automation wherever it removes manual work. This is a long-term, career-track role with a company that is actively scaling.

The Role
Working alongside the AI Research & Data Orchestrator, this role builds and deploys the MSA landing pages themselves — turning structured research/content into live, templated web pages at scale, and keeping the publishing pipeline automated.
What You'll Do
• Build and maintain a templated web page system capable of publishing large volumes of MSA landing pages efficiently
• Automate the handoff from structured content/data into the CMS or site framework (scripting, APIs, or no-code tooling)
• Perform QA on page rendering, mobile responsiveness, load speed, and on-page SEO basics before publish
• Troubleshoot and resolve deployment issues; maintain version control (GitHub) for all site code/templates
• Collaborate with the AI Automation & Agent Specialist to identify opportunities to further automate the build/deploy pipeline

Must-Have Qualifications
• 2+ years experience with web development/deployment (HTML/CSS/JS at minimum; a modern framework and/or CMS)
• Experience with templated or programmatic page generation at scale
• Comfort with GitHub/version control and basic CI/CD or deployment automation
• Working knowledge of on-page SEO fundamentals
Nice to Have
• Experience with headless CMS platforms
• Python or JavaScript scripting for build automation
• Prior work on large-scale local-SEO or multi-location page programs

What Success Looks Like
• Templated system in place that lets one person publish many MSA pages per week with minimal manual work
• Pages consistently pass QA (speed, mobile, SEO basics) before publish
• Deployment pipeline requires little to no manual intervention once content is ready