AI Implementation Engineer

About the team

We’re the AI & Automation Engineering team. Our mission is to make life easier for every internal team through automation, from standalone tools to Operational Hub, the unified platform we’re building to house all the automation tools each department needs. We work directly with Growth, Strategy & Planning, Client Service, Operations, and Data & Solutions (among others), so most of what you build is used by the people you work with every day.

The team today is small: a Product Manager, a Full-Stack Engineer, and an AI Implementation Engineer. But the company is growing very fast, and so is our team.

About the role

We’re looking for AI Implementation Engineer who thrives at the intersection of automation, AI-assisted development, and practical tool-building. You’ll work alongside our existing engineers to design, build, and maintain the internal tools and automated workflows that power day-to-day operations across the company.

The work is hands-on and fast-moving: you’ll turn business needs into working solutions using n8n, LLM APIs (Claude, OpenAI), and AI-assisted development tools like Replit and Claude Code.

If you build with AI, want real ownership over features, and want to work closely with the people who use what you build, this is the role for you.

Responsibilities

• Design, build, and maintain n8n workflows that automate internal business processes.
• Troubleshoot and improve existing automations to keep them reliable, efficient, and easy to maintain.
• Develop and launch lightweight internal tools using AI-assisted development tools such as Claude Code and Replit.
• Integrate systems and services through APIs and webhooks, including LLM APIs such as Claude and OpenAI.
• Work directly with internal stakeholders to understand their needs and translate them into practical solutions.
• Test tools and workflows, gather user feedback, and deliver improvements as business needs evolve.
• Contribute new features to the team’s Operational Hub and collaborate with engineers on technical decisions.
• Take ownership of assigned projects, from requirements gathering through launch and ongoing support.

• 2+ years of professional experience in QA (preferred), analytics, or project management. Hands-on programming skills are also welcome.
• Hands-on experience building, debugging, and maintaining workflows in n8n or Make.com.
• Ability to build and ship functional applications using AI-assisted development tools such as Claude Code, Replit, Cursor, or similar.
• A working understanding of APIs, webhooks, and data flows, with the ability to troubleshoot integration issues.
• Basic proficiency in SQL, ideally BigQuery, including reading and working with structured data.
• Strong communication and stakeholder management skills, with the ability to collaborate with technical and non-technical teams.
• Ability to understand business processes, clarify requirements, and translate them into practical tools and automations.
• A proactive approach to problem-solving, willingness to learn, and ownership of your work.

Nice to have

• Experience with Google APIs, particularly Sheets, Drive, and Calendar.
• Familiarity with Clerk or similar authentication and authorization tools.
• Knowledge of React or basic frontend development.
• Experience integrating Slack, Asana, HubSpot, or similar business tools.
• Experience in AdTech or MarTech.

Portfolio

If we move forward after the initial HR interview, we’ll ask you to share a portfolio of tools or automations you’ve delivered. Please highlight their measurable business impact and explain your personal contribution to each project.