AI Automation Engineer, Customer Education

Harvey Harvey · AI Frontier · Remote · User Operations

AI Automation Engineer role focused on building and maintaining AI agents and automation pipelines for customer education platforms (Harvey Academy, help center) using LLM APIs. The role involves integrating with learning technology stacks, optimizing content operations, and exploring interactive learning components. It requires strong software engineering skills, experience with AI agents and LLM workflows, and the ability to operate autonomously.

What you'd actually do

  1. Build and maintain AI agents using LLM APIs (Anthropic Claude, OpenAI) to automate content creation, review, and publishing workflows across Harvey Academy and the help center.
  2. Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations, ensuring reliability, extensibility, and seamless content publishing.
  3. Identify and eliminate bottlenecks in content operations by building automation where it doesn't exist yet.
  4. Partner with Product, User Operations, and GTM to identify opportunities for systems improvement and AI-driven innovation across the customer education ecosystem.
  5. Use technical expertise to explore implementation of interactive learning components based on instructional design direction from team members.

Skills

Required

  • 5+ years of experience in software engineering or automation engineering
  • demonstrated experience designing and building API integrations
  • Proficiency with modern web technologies (HTML, CSS, JavaScript, and React or similar)
  • Hands-on experience building AI agents, LLM-powered workflows
  • prompt engineering
  • API integrations with platforms like Anthropic Claude or OpenAI
  • supporting production systems end-to-end
  • LMS platforms
  • CMS tools
  • Strong ability to operate autonomously
  • translating business needs into well-architected technical solutions
  • Excellent communication skills
  • collaborate closely with non-technical teammates
  • explain technical tradeoffs clearly
  • Comfort working in documentation-heavy or content-ops environments

Nice to have

  • Familiarity with content governance or audit systems
  • automated review triggers
  • freshness logic
  • Experience building and operating AI video generation pipelines
  • Experience coding interactive elements within LMS platforms

What the JD emphasized

  • AI agents
  • LLM APIs
  • automation
  • AI-driven innovation
  • interactive learning components

Other signals

  • AI agents
  • LLM APIs
  • automation pipelines
  • customer education