The AI Product Engineer will own the design, development, and optimization of Arootah's web properties, internal tools, and client-facing applications. This role builds and maintains full-stack web and application experiences across a mixed low-code and custom-code environment, integrating third-party and AI services where they add value. Working closely with leadership and the Tech Project Manager, often as the sole engineer on a given project, you will also document systems and reduce single-owner risk so that critical tools stay maintainable over time. The position requires strong full-stack web and application development skills, hands-on experience integrating AI and LLM services, and comfort working across both low-code platforms and custom code. This is a part-time, remote engagement of approximately 20 to 25 hours per week.
- Build and maintain full-stack web and mobile-friendly applications, including React-based front ends and their supporting data layers.
- Design and maintain Airtable bases (schema, automations, interfaces, and data quality) that back internal and client-facing tools.
- Build workflow automations in n8n and Zapier that connect the CRM, forms, databases, and other services.
- Integrate third-party and AI services (for example, LLM APIs such as Anthropic's Claude) into applications and workflows where they add value.
- Test, debug, and optimize applications for performance, reliability, and usability.
- Collaborate with leadership, the Tech Project Manager, and external vendors to scope work and ship in tight, disciplined cycles.
- Document systems and establish maintainable patterns so no single tool depends on one person.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Demonstrated experience shipping full-stack web and application projects, including a modern JavaScript framework (React preferred).
- Strong front-end skills (HTML, CSS, JavaScript) and experience building responsive, user-friendly interfaces.
- Strong experience using Airtable as an application backend (linked records, automations, interfaces).
- Experience with workflow automation platforms (n8n and/or Zapier) and integrating third-party APIs.
- Hands-on experience integrating AI or LLM services (for example, Anthropic's Claude) into applications.
- Familiarity with Claude Code (Anthropic's agentic coding tool), or a willingness to adopt it to ship quickly.
- Comfort operating as a sole or near-sole engineer: self-directed, and disciplined about scope and documentation.
- Strong problem-solving skills, with the ability to communicate effectively with technical and non-technical stakeholders.