Senior Production AI Engineer - LLM & Agentic Systems

Xero; Melbourne; Híbrido; AUD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Xero is seeking a Senior Backend Engineer to design, build, and own the production systems powering our AI features. You will shape scalable, cost-effective and reliable services for millions of small businesses, collaborating with AI Products to deliver practical, agentic experiences.

You don’t need a ML background; you’ll mentor engineers, set standards, and partner across the org to make data usable and systems dependable, while operating in a flexible hybrid model from Melbourne.

Formación

• Track record designing, shipping and operating production-grade backend systems at scale.
• Experience building and operating production systems for LLM or agentic workloads.
• Strong system design and Python (or similar web-scale languages) coding.
• Experience with APIs, cloud infra (AWS), CI/CD and observability.
• Experience on-call and incident response.
• Solid SQL and large-scale data processing.
• Excellent communication and ability to explain complex concepts.
• Coaching mindset to set standards and mentor engineers.

Responsabilidades

• Design, build and own production systems powering Xero's AI features.
• Operate systems, not train models; influence scale, cost and reliability.
• Mentor engineers and set engineering standards across teams.
• Collaborate across Xero to make data usable and systems dependable.
• Work with AI Products to ship reliable, intelligent experiences.

Conocimientos

Backend systems design

LLM/agentic workloads

Python

System design

On-call / incident response

SQL / data processing

Communication

Mentorship

Herramientas

AWS

CI/CD

Observability

APIs & service design

Python

Go

Java

Kotlin

TypeScript

Descripción del empleo

Xero is seeking a Senior Backend Engineer to design, build, and own the production systems powering our AI features. You will shape scalable, cost-effective and reliable services for millions of small businesses, collaborating with AI Products to deliver practical, agentic experiences.

You don’t need a ML background; you’ll mentor engineers, set standards, and partner across the org to make data usable and systems dependable, while operating in a flexible hybrid model from Melbourne.