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Technology, Printing, Business Services, Document Management

Engineer - AI Platform

Au: Melbourne:RemoteFull TimePosted 2 months ago

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Role summary

Join Xero's internal AI platform team to build and operate the core infrastructure for AI development and deployment. This hands-on role involves working with Python, AWS, Terraform, and Kubernetes to create secure LLM gateways, SDKs, and platform foundations for deploying AI-powered services at scale. You will focus on reliability, observability, and the operational aspects of AI infrastructure, ensuring Xero's platform keeps pace with evolving agentic technologies. The team is distributed across Australia and offers remote or office-based work.

The role / impact

Join the team building and operating Xero's internal AI platform — the engine that powers how AI gets built and shipped across the organisation. You'll work on the shared infrastructure that makes it possible: secure LLM gateways, shared SDKs, and the platform foundations that let engineering teams deploy AI-powered services safely and at scale.

This is a hands-on infrastructure role with real AI depth. You'll sit at the intersection of platform engineering and emerging AI capabilities — helping shape how agent-driven products are structured, monitored, and run in production. As agentic technologies evolve fast, you'll have a direct hand in ensuring Xero's platform keeps pace and stays reliable for the teams building on top of it.

The team / how they connect

The AI Platform team is a tight-knit, distributed group spread across Australia. They work closely with security specialists and AI practitioners to build the agentic infrastructure that powers Xero's next generation of products. The pace is fast, the thinking is iterative, and knowledge-sharing is baked into how they operate.

The team is currently working on

  • Building and evolving Xero's agentic platform — the core infrastructure for creating and deploying AI agents into production

  • Developing platform components using Python, AWS, Terraform, and Kubernetes to support AI workloads at scale

  • Building evaluation and observability tooling to support responsible, reliable AI use across the business

  • Evolving the AI Gateway to provide secure, scalable access to multiple LLM providers for internal engineering teams

Where and how you can work

This role is open to candidates anywhere in Australia. The team already spans multiple time zones including Perth and Melbourne, and you're welcome to work remotely or from one of our offices — as long as you can align on core hours to stay connected with your teammates.

What we're looking for

  • Strong, production-quality Python, you write code others can maintain, and you're comfortable evolving with the stack as it changes

  • Solid cloud infrastructure fundamentals: Terraform, Kubernetes, and AWS are part of your toolkit

  • An operational mindset, you care about reliability, documentation, and the full customer experience, not just shipping features

  • A genuine curiosity about AI, you follow where the technology is heading and want to work on the infrastructure that brings it to life

  • A collaborative approach, you pair well with others, engage in design reviews, and adapt when priorities shift

  • Experience with AI-powered developer tools like GitHub Copilot is a plus in our automation-focused environment

Apply even if your experience isn't a perfect match. At Xero, we hire based on your skills, passion, and the unique perspective you bring — not a checklist.

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Sample Xerox interview questions

  • 1

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  • 2

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  • 3

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  • 5

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