Senior Engineer - AI Agentic

Xero; Sydney; Hybrid; AUD 180,000 - 210,000; Full time

Job summary

Xero is seeking a Senior Software Engineer for AI Enablement in Australia. You will join a small team building the tools, platforms and best practices that help engineers work with AI across Xero.

You own projects from early experiments through to production, including runbooks, monitoring and rollback thinking to keep things reliable day to day. You will collaborate with AWS, Microsoft and GitHub on early-access technology, shape internal AI-focused platforms, and influence the technical

Qualifications

• Hands-on software engineering with C#, .NET and AWS; quick to pick up new stacks.
• Experience building internal tools or platforms used by other engineers.
• Production discipline: write runbooks, monitor systems and plan rollback before release.
• Clear communicators who can bring others along with ideas.
• Curious about AI-native tools and agents, and future AI engineering directions.

Responsibilities

• Build internal tools, platforms and best practices enabling AI work across Xero.
• Own end-to-end delivery from experiments to production, including runbooks and monitoring.
• Collaborate with AWS, Microsoft and GitHub on early-access tech.
• Help shape the internal skills marketplace and AI distribution platform.

Skills

C#

.NET

AWS

Python

TypeScript

AI tooling

Internal tools

Tools

GitHub

CI/CD

Job description

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