AI Automation Engineer | Claude Code | n8n | Shopify | Xero | Google Ads
Budget: $25.0 - $50.0
HOURLY / NOT_SURE
⭐ 4.52 (74)
Australia
python, restful-api, node.js, artificial-intelligence, shopify, xero
We are an established Australian consumer goods brand looking for an experienced AI Automation Engineer to help transform how our business operates.
We estimate this to be a 3 month project (10–20 hours/week).
We’re not trying to automate everything.
We want to identify and implement the highest leverage AI systems that will deliver around 80% of the value, while teaching us enough that we can continue building internally after the project finishes.
About our business
We manufacture and distribute premium alkaline water throughout Australia.
We sell through:
* Shopify
* Retailers
* Distributors
* Direct to consumer
Our current tech stack includes:
* Shopify
* Xero
* Gmail
* Google Ads
* Meta Ads
* Google Analytics 4
* Klaviyo
We’re open to introducing additional technologies if they provide genuine long term value.
What we’d like your help with
Rather than building random automations, we want to create an AI operating system that improves the entire business.
1. Revenue Growth
We want AI connected to our marketing and sales systems to provide recommendations, not just reports.
Examples include:
* Analyse Google Ads performance
* Analyse Meta Ads performance
* Identify wasted spend
* Recommend keyword opportunities
* Recommend audience improvements
* Recommend creative improvements
* Weekly marketing insights
* Sales follow up automation
* Lead qualification
* Distributor and retailer prospecting
* CRM automation
The goal is for AI to tell us:
* What’s working
* What’s not working
* Why
* What we should do next
2. Executive Decision Support
Build an AI assistant that understands our business.
Examples:
* Daily executive dashboard
* KPI reporting
* Margin analysis
* Inventory alerts
* Business summaries
* Company knowledge search
* Document summarisation
3. Customer Service
Help automate repetitive customer support processes.
Examples:
* Email drafting
* FAQ responses
* Customer support workflows
* Chat automation
* Escalation rules
4. Operations
Improve operational efficiency.
Examples:
* Inventory forecasting
* Reorder alerts
* Logistics reporting
* Warehouse reporting
* Supplier management
5. Finance
Automate repetitive bookkeeping and finance processes where practical.
Examples:
* Invoice processing
* Expense categorisation
* Xero coding suggestions
* Reconciliations
* Cash flow reporting
* Management reporting
Technologies
We’re not locked into specific tools, but experience with many of the following would be highly desirable:
* Claude Code
* n8n
* OpenAI API
* Anthropic API
* Python
* REST APIs
* GitHub
* MCP
* Shopify
* Xero
* Google Ads API
* Meta Marketing API
* Google Analytics 4
* Docker
What success looks like
At the end of the project we’d like to have:
* Our major business systems connected
* AI integrated into our daily workflows
* Low value repetitive tasks automated
* AI providing business recommendations and insights
* Clear documentation
* Enough knowledge to continue building the remaining 20% ourselves
We value long term strategic thinking over quick fixes.
We’re looking for someone who thinks like a business systems architect rather than someone who simply builds automations.
To apply
Please answer the following questions.
1. Tell us about the most sophisticated AI business system you’ve built.
2. What measurable business outcomes did it achieve?
3. If you joined us for 90 days, what would your roadmap look like?
4. What would you build during your first month?
5. Which tools and technologies would you recommend for our business, and why?
6. What’s one high leverage AI automation that most businesses overlook?
7. Please include links to relevant case studies, GitHub repositories, videos or examples of your work.
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