AI Automation Engineer

We are looking for a skilled and motivated AI Automation Engineer to join our Engineering team, focusing on building and maintaining autonomous, AI-augmented growth systems. You will be instrumental in bridging backend engineering, AI implementation, and low-code automation to deliver exceptional, self-driving workflows. This role requires a strong understanding of backend logic, API integrations, and modern AI tooling, with a critical focus on system reliability and scalable architecture.
 

Requirements

To be successful in this role, you should meet the following minimum experience standards:

• Node.js Backend: 3+ years of professional experience building scalable backend services, specifically handling asynchronous programming and complex logic.
• Automation Expertise: 1+ years of hands-on experience (or deep technical curiosity) with workflow automation platforms like n8n (preferred) or Make.com, Zapier, including writing custom code nodes.
• Database Proficiency: Strong working knowledge of relational databases, specifically PostgreSQL or MySQL, including schema design (e.g., session management tables), joins, and query optimization.
• API Integration: Solid command of integrating third-party APIs (REST/GraphQL), handling authentication (OAuth2, API Keys), and managing rate limits for tools like Slack, Google Drive, and Semrush.
• AI Implementation: Experience integrating LLMs (e.g., OpenAI API, Gemini) into workflows, including prompt engineering and handling JSON outputs from models.
• Version Control: Familiarity with Git and modern CI/CD workflows for deploying backend services.
• Availability: Ability to work 4-5 hours in EST timezone (Toronto), GMT-5.
   

Desirable Experience (Plus Skills)

Experience in any of the following areas is a significant advantage:

• Dashboard Development: Experience with modern JavaScript frameworks, specifically Next.js or React, to build internal front-ends or analytics dashboards for the agents.
• Advanced AI Workflows: Familiarity with LangChain concepts, vector databases (RAG), or agentic orchestration patterns.
• Cloud Infrastructure: Experience deploying services on platforms like DigitalOcean, Google Cloud, or AWS using Docker.
• Technical SEO: Understanding of SEO data metrics (Volume, KD, CPC) to better engineer the logic behind keyword and content agents.
   

Key Responsibilities

• Develop & Orchestrate Agents: Build and maintain the suite of AI agents using n8n and Node.js.
• Backend Logic & Custom Nodes: Write clean, scalable JavaScript/TypeScript code for complex data transformation, error handling, and session management within automation workflows.
• API Ecosystem Management: Implement and maintain robust integrations between Slack (user interface), Google Drive (storage), OpenAI (intelligence), and Semrush, Google Analytics, Google Search (data source).
• System Reliability: Actively monitor, troubleshoot, and debug agent failures, specifically handling API timeouts, context window limits, and JSON parsing errors.
• Database Management: Maintain the PostgreSQL tables.
• Prompt Optimization: Collaborate with the product team to refine system prompts and ensure AI outputs meet strict formatting and quality standards.
• Documentation: Contribute to technical documentation for agent architectures and API connections to maintain knowledge sharing.

Perks & Benefits

• Competitive salary and benefits package.
• 100% Remote work environment.
• Cutting-Edge Tech: Work directly on autonomous AI systems that are integral to client infrastructure.
• Small, Agile Team: Direct access to founders and a culture that encourages creative technical solutions over narrowly scoped tickets.
• Career Growth: Opportunities for financial support for continuous learning and professional development.