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Xero

Senior Software Engineer – ML & AI

Xero

. Design, build and own production systems behind Xero’s AI features .

Posted 11/3/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating production-grade backend systems, particularly for LLM and AI workloads, with a strong focus on reliability, cost management, and system design. Proven ability to mentor engineers and set engineering standards while integrating AI into customer-facing experiences.

Highest-signal resume keywords
Production-Grade Backend Systems DesignPython ProgrammingCloud Infrastructure (AWS)CI/CD and ObservabilityMachine Learning Operationalization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
System Design FundamentalsAPIs and Service DesignSQLLarge-Scale Data ProcessingLatency and Cost ManagementIncident ResponseInference ServingEvaluation PipelinesDistributed Processing (Spark or Dask)Data Orchestration Tools
Soft Skills
Excellent Communication SkillsCoaching MindsetMentoring
Tools & Technologies
JAXMLflowPyTorchTensorFlowXeroForce
Industry Keywords
AI FeaturesLLM-Driven ExperiencesAutomated Bank ReconciliationSmart Document CaptureData UsabilitySystem Dependability

Tech Stack

Tools & technologies
AWSCloudJavaKotlinPythonPyTorchSparkSQLTensorflowTypeScriptGo

About the role

Key responsibilities & impact
  • Design, build and own production systems behind Xero’s AI features
  • Build and operate services, pipelines and infrastructure powering LLM-driven and agentic experiences for millions of small businesses
  • Make architecture decisions affecting scale, cost, reliability and delivery speed
  • Build production ML and AI platforms, services and engineering practices
  • Partner with Applied Scientists to build interfaces and harnesses that take models into production
  • Own engineering and infrastructure for ML and AI systems in production, including reliability, cost and scale
  • Develop and evolve JAX (Just Ask Xero), Xero’s conversational GenAI assistant
  • Develop intelligent financial workflows such as Automated Bank Reconciliation and smart document capture
  • Build XeroForce, an AI-powered workflow platform enabling agents to plan and execute complex tasks
  • Integrate AI into customer-facing experiences and product workflows
  • Set engineering standards, mentor engineers and lift engineering capability across AI Products
  • Partner across Xero to improve data usability and system dependability
  • Participate in on-call and incident response

Requirements

What you’ll need
  • Track record of designing, shipping and operating production-grade backend systems at scale
  • Experience building and operating production systems for LLM or agentic workloads, including orchestration, tool use, evaluation, guardrails, latency and cost management
  • Strong system design fundamentals
  • Excellent coding in Python or another language suited to web-scale services, such as Go, Java, Kotlin or TypeScript
  • Experience with APIs and service design
  • Experience with cloud infrastructure, ideally AWS
  • Experience with CI/CD and observability
  • Focus on latency, cost, reliability and SLOs
  • Experience running services in production, including on-call and incident response
  • Solid SQL and experience with large-scale data processing
  • Excellent communication skills for explaining complex technical concepts to business and technical audiences
  • Coaching mindset and ability to set engineering standards and mentor other engineers
  • Experience operationalizing ML or LLM workloads, including inference serving and evaluation pipelines (nice to have)
  • Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools (nice to have)
  • Distributed processing experience with Spark or Dask (nice to have)
  • Ability to work in Australia and appropriate working rights for the country this role is based in

Benefits

Comp & perks
  • Flexible hybrid working model combining office collaboration with remote-work autonomy
  • Access to modern office spaces
  • Collaborative “boost days”
  • Fair and supportive recruitment experience
  • Recruitment-process accommodations or adjustments, including modified interview format, additional assessment time, and assistive technology
  • Potential consideration for other current or future opportunities after application
  • Xero employment subject to satisfactory background checks, which may include credit and criminal history checks