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Accounting Software

Senior Engineer - AI Agentic

Au: Melbourne:HybridFull TimeSeniorPosted 2 months ago

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Required skills

  • AI
  • AI Enablement
  • C#
  • NET
  • AWS
  • Internal Tools
  • Distribution Platforms
  • Skills Marketplace
  • Production Discipline
  • Runbooks

Nice to have

  • Python
  • TypeScript
  • Agentic AI
  • AI-native tools
  • Early-access technology

Role summary

Xero is seeking a Senior Software Engineer for their AI Enablement team. This role focuses on building the tools, platforms, and best practices that empower engineers across the organization to work with AI. You will own the end-to-end development lifecycle of AI tools, from experimentation to production, ensuring reliability through runbooks, monitoring, and rollback strategies. The position involves shaping the technical direction of an internal skills marketplace and AI distribution platform, collaborating with technology vendors on early-access products, and guiding teams in their AI adoption. The ideal candidate has hands-on software engineering experience, ideally with C#, .NET, and AWS, and a strong understanding of production discipline. Experience building internal tools for engineers and a curiosity for AI engineering are highly valued.

Job Advert

Senior Software Engineer, AI Enablement

The role & impact

You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day.

This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey.

The team & how they connect

The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance.

Initially, you will focus on

  • Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling

  • Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org

  • Developing guidance and best practice for authoring agent skills, including agents for remediation tasks

  • Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market

Where and how you can work

You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team.

Here are some of the things we're looking for, for this role

  • You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly

  • You've built internal tools or platforms that other engineers genuinely relied on

  • Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live

  • You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background

  • You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading

  • You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Sample Xero interview questions

  • 1

    Merge Overlapping Intervals Merge overlapping intervals in an array. Input: intervals = [[1,4],[4,5]] Output: [[1,5]] Explanation: The intervals touch exactly at the 4 mark, so they are successfully merged into a single continuous interval.

    codingmedium
  • 2

    Diameter of a Binary Tree Find the diameter of a binary tree. Input: root = [1,2] Output: 1 Explanation: The longest path is simply the single edge connecting the root node to its only child.

    codingmedium
  • 3

    Iterator over a Binary Search Tree Implement an iterator over a binary search tree. Input: root = [7,3,15,null,null,9,20], calls: next(), hasNext(), next() Output: 3, TRUE, 7 Explanation: The iterator yields the smallest value (3), confirms more nodes exist, then properly yields the next in-order value (7).

    codingmedium
  • 4

    Alien Dictionary Order Derive the alien dictionary order from a sorted list of alien words. Input: words = ["z","x","z"] Output: "" (Empty String) Explanation: The letter 'z' cannot come before 'x' and then suddenly after 'x', creating a cycle and making the dictionary invalid.

    codingmedium
  • 5

    Encode and Decode Strings Encode a list of strings into a single string and decode it back. Input: strs = ["","hello",""] Output: ["","hello",""] Explanation: Prepends chunk lengths and a delimiter (e.g., "0#5#hello0#") to safely encode and perfectly restore empty strings.

    codingmedium

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