Part Time Automation Expert — AI Workflows

About the role We operate in the national infrastructure space, working with forward-thinking asset-management teams across the region. Our work blends field operations with proven technology; and we're now investing seriously in the layer that connects the two: AI-driven workflows, automation, and lightweight internal tools that let a small team operate at the standard of a much larger one. We're looking for someone curious, technically mature, and genuinely interested in how modern AI changes the way a business runs. You won't be writing prompts on the side of someone else's project; you'll be identifying opportunities, scoping solutions, and shipping the tools that quietly make the business better every week. Candidates must have Australian work rights to be eligible for this position. What you'll be doing You'll work directly with the leadership team to find friction in our day-to-day operations and design automations that remove it. That includes: Identifying repeatable, manual workflows across our operations, finance, sales, and field teams that are good candidates for automation or AI assistance. Building internal tools and integrations that connect our core platforms — our CRM, no-code relational database, accounting platform, client enterprise asset management system, productivity suite, and others — so data flows cleanly between them without human stitching. Designing and deploying AI-assisted workflows using leading LLM platforms, including agentic tools, MCP server connections, and orchestration layers (think Zapier, n8n, or custom-coded equivalents where it makes sense). Standing up small, well-engineered tools that solve specific business problems — dashboards, internal portals, reporting automations, document generators, intake forms, decision-support assistants. Enterprise-grade thinking, small-business scale. Documenting what you build so it's maintainable by others and explainable to non-technical staff. Suggesting things we haven't thought of. We expect this part. What we're looking for A working understanding of modern AI tools and how to deploy them well — not just chat interfaces, but tool use, connectors, MCP servers, retrieval, and the practical realities of getting LLMs to do useful work inside a business. Minimum 3+ years experience working with AI tools and implementing AI-driven workflows in business environments. Comfort with SaaS ecosystems and APIs. You should be able to look at a stack of business platforms and immediately start thinking about where the seams are. Solid general IT and software literacy — version control, basic scripting (Python, JavaScript, or similar), reading API docs, understanding auth flows, knowing when to use a no-code tool and when to write code. Intermediate level programming and scripting skills across multiple languages and platforms. A bias toward shipping. We'd rather have a rough working tool in a week than a perfect spec in month three. Enough commercial maturity to understand that these tools exist to make the business run better — not to be impressive in isolation. Nice to have Exposure to enterprise asset management, GIS, or utilities/infrastructure data. Experience with low-code platforms and relational no-code databases. A portfolio of personal builds, side projects, or tools you've made for previous workplaces. The arrangement This is a part-time role designed to suit a student or someone balancing other commitments. Hours are flexible. Work is largely remote, with occasional video calls or you can come into our office (we'll shout you lunch!). We pay fairly, give you genuine autonomy, and treat the work as real — because it is. The opportunity to continue with us following your studies is a real possibility. If this sounds like the kind of role you've been waiting for, we'd like to hear from you. A short note about what you'd build first is more useful to us than a polished CV.