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AI Automation Engineer

  • Tyendinaga, Ontario, Canada
  • Remote
  • Posted Sep 19, 2026
  • 1 position

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level

Job summary

Design and deploy autonomous AI agents to automate company processes across Sales, HR, Support, and Operations. Integrate LLMs with the existing tech stack and manage vector databases for agent memory.

Job details

Vacancy AI Automation Engineer.pdf DownloadCtrl+D DetailsD PrintCtrl+P Show Thumbnail Outline Comments Hide comments Show comments Show all comments Zoom Fit 50% 75% 100% 125% 150% 200% FindCtrl+F Send feedback to Google Report abuse Keyboard shortcutsCtrl+/ More Open with Sign in Page /2 Download Print Zoom out Zoom in Hide file header Previous Next Show navigation pane 1 2 Approve Reject View Details Request a review Learn more Signature pending Sign Reject View details Review Not Spam Remove forever Not Spam Loading… {"id": "1NSDnkb0Slf045-386424_vkzJnqCX4HP", "title": "Vacancy AI Automation Engineer.pdf", "mimeType": "application\/pdf"} Page 1 of 2 Vacancy Title: AI Automation Engineer Location: Remote Type: Contract Deadline: 31 March 2026 Are you obsessed with efficiency? Do you look at a manual, repetitive task and immediately think, "An AI agent could do this better"? We are looking for a forward-thinking AI Automation Engineer to join our team. In this role, you won't just be using AI; you will be building a digital workforce of autonomous agents that interact with our software, manage data, and streamline our operations. Key Responsibilities Agent Development: Design, build, and deploy autonomous AI agents using relevant frameworks. Workflow Automation: Map out existing company processes (Sales, HR, Support, Operations) and automate them using relevant automation platforms like Make.com and n8n. API Integration: Connect LLMs (OpenAI, Claude, Llama) to our existing tech stack (CRM, Slack, Google Workspace, etc.). Prompt Engineering: Develop and refine complex system prompts to ensure agents operate reliably and accurately. Data Strategy: Implement Vector Databases to give our AI agents "memory" and access to company-specific knowledge. Maintenance: Monitor agent performance, troubleshoot "hallucinations," and optimize token usage/costs. Required Technical Skills Proficiency in Python: Essential for custom script logic and agent frameworks. Automation Platforms: Advanced experience with platforms like Make.com (Integromat) and n8n. Page 2 of 2 LLM Knowledge: Deep understanding of how to work with APIs from OpenAI, Anthropic, or open-source models. Integration Experience: Strong understanding of REST APIs and Webhooks. Frameworks: Experience with LangChain or CrewAI is a major plus. Qualifications Problem Solver: You enjoy deconstructing complex business problems into logical, automated steps. Self-Starter: You stay up to date with the weekly (sometimes daily) changes in the AI landscape. Strategic Thinker: You don't just build what is asked; you suggest better ways to use AI to save the company time and money. Apply to: career@marketing-popcorn.com Details Comments General Info Type Dimensions Size Duration Location Modified Created Opened by me Sharing Description Could not preview the file There was a problem loading the details. Loading… Back Transcript Close side sheet Copy Add a comment Page 1 Page 1 of 2

What you’ll do

Design and deploy autonomous AI agents to automate company processes across Sales, HR, Support, and Operations. Integrate LLMs with the existing tech stack and manage vector databases for agent memory.

Requirements

Requires proficiency in Python and advanced experience with automation platforms like Make.com and n8n. Candidates should have deep knowledge of LLM APIs and experience with frameworks like LangChain or CrewAI.

Listed skills

  • Python · Preferred
  • REST APIs · Preferred
  • prompt engineering · Preferred
  • Workflow Automation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Make.com
  • n8n
  • LLM APIs
  • REST APIs
  • Webhooks
  • LangChain
  • CrewAI
  • Prompt Engineering
  • Vector Databases
  • Workflow Automation
  • AI Agent Development

Job areas

  • Software
  • Technology
  • Engineering
  • Data & Analytics
  • Education