Senior AI Platform Engineer (LLM & Production)

Xero Limited; Sydney; Híbrido; AUD 220.000 - 300.000; Jornada completa

Descripción de la vacante

Xero Limited is seeking a software engineer to design, build and own the production systems behind its AI features. You will shape the infrastructure powering LLM-driven experiences for millions of small businesses, focusing on reliability, cost and scalability.

You don’t need a deep ML background; strong production engineering skills and experience with LLM/agentic systems will be valued, with ML depth learnable on the team.

Formación

• Design, build and operate production-grade backend systems at scale.
• Experience building and operating production systems for LLM/agentic workloads.
• Strong system design fundamentals and coding in Python or web-scale languages.
• Experience with APIs, cloud infrastructure (ideally AWS), CI/CD and observability.
• Experience running services in production, including on-call and incident response.
• Solid SQL and large-scale data processing experience.
• Excellent communication to explain technical concepts to business and technical audiences.
• Coaching mindset and ability to set engineering standards and mentor others engineers.

Responsabilidades

• Design, build and own production systems powering Xero’s AI features.
• Operate services and pipelines with focus on scale, cost, reliability and speed of shipping.
• Collaborate with Engineers, Scientists and Product Managers to productionize ML/AI workflows.
• Set standards, provide mentorship, and improve data usability and system dependability.

Conocimientos

Production backend design

LLM workloads

Python programming

APIs & cloud infra

On-call/incident response

SQL / data processing

Communication

Mentoring/coaching

Herramientas

AWS

PyTorch

MLflow

Spark

Descripción del empleo

Xero Limited is seeking a software engineer to design, build and own the production systems behind its AI features. You will shape the infrastructure powering LLM-driven experiences for millions of small businesses, focusing on reliability, cost and scalability.

You don’t need a deep ML background; strong production engineering skills and experience with LLM/agentic systems will be valued, with ML depth learnable on the team.