Automation Engineer, Customer Education
$124k - $185k • Remote • Remote • FullTime
Posted 1mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Harvey is transforming legal and professional services by integrating agentic AI, an enterprise platform, and domain expertise. This role offers a unique opportunity to contribute to a rapidly scaling, category-defining company. The Customer Education team is building the technical infrastructure for AI education for legal professionals, focusing on systems like Harvey Academy and the help center. This is a high-autonomy position where you will translate educational strategy into production-grade technical solutions, automating manual content operations to create smarter, faster, and scalable processes. You will be instrumental in defining the future of generative AI education and ensuring customers quickly become experts on the platform.
Responsibilities
- Build and maintain AI agents using LLM APIs (Anthropic Claude, OpenAI) for content creation, review, and publishing workflows.
- Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations.
- Identify and eliminate bottlenecks in content operations through automation.
- Partner with Product, User Operations, and GTM teams to identify system improvements and AI-driven innovations.
- Explore and implement interactive learning components based on instructional design.
Requirements
- 5+ years of experience in automation engineering with demonstrated API integration design and building.
- Proficiency with modern web technologies (HTML, CSS, JavaScript, React or similar).
- Hands-on experience building AI agents and LLM-powered workflows, including prompt engineering and API integrations with platforms like Anthropic Claude or OpenAI.
- Track record of supporting production systems end-to-end, ideally including LMS platforms, CMS tools, or similar content delivery infrastructure.
- Strong ability to operate autonomously and translate business needs into technical solutions with minimal oversight.
- Excellent communication skills for collaborating with non-technical teammates and explaining technical tradeoffs.
- Comfort working in documentation-heavy or content-ops environments.