
1001 - 5000 employees
Founded 2006
☁️ SaaS
🤝 B2B
💰 $925M Post-IPO Debt - Xero on 2024-06
SaaS • B2B
Xero is a cloud-based accounting software company that provides bookkeeping, invoicing, payroll, bank reconciliation, VAT/MTD compliance, and financial analytics for small businesses, accountants, and bookkeepers. It offers an app marketplace for integrations, online invoice payments, partner programs for accountants and bookkeepers, and AI-powered automation (JAX) to streamline routine financial tasks.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2006
☁️ SaaS
🤝 B2B
💰 $925M Post-IPO Debt - Xero on 2024-06
SaaS • B2B
Xero is a cloud-based accounting software company that provides bookkeeping, invoicing, payroll, bank reconciliation, VAT/MTD compliance, and financial analytics for small businesses, accountants, and bookkeepers. It offers an app marketplace for integrations, online invoice payments, partner programs for accountants and bookkeepers, and AI-powered automation (JAX) to streamline routine financial tasks.
• As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. • You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. • You will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. • By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. • You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business.
• You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. • Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. • You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. • A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. • You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. • You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication.
• Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO. • Wellbeing leave, volunteer leave, holidays, paid parental leave.
Apply Now🕒 Yesterday
AI/ML Technical Practice Leader responsible for technical strategy and execution of AWS AI/ML business. Leading customer engagements and formulating AI/ML strategy at Quantiphi.
AWS
Cloud
🕒 Yesterday
Fullstack Software Engineer creating consumer-facing applications for post-purchase experiences at Narvar. Working with technologies like Typescript, React, and Golang.
Angular
AWS
Azure
BigQuery
Cloud
Ember.js
Google Cloud Platform
GraphQL
JavaScript
Node.js
Postgres
React
Svelte
Vue.js
Go
🕒 Yesterday
Senior ML Developer at Autodesk designing and implementing ML capabilities for RAG platforms. Collaborating with teams to deliver data-driven solutions and mentor junior developers.
Pandas
Python
🕒 3 days ago
1001 - 5000
AI Developer for Escalent's AI Transformation Team, developing AI-powered applications and workflows. Opportunity to work with advanced AI technologies and collaborate with dynamic teams.
AWS
Azure
Cloud
Django
Docker
Flask
Kubernetes
Microservices
NoSQL
Python
SQL
🕒 3 days ago
1001 - 5000
AI Developer responsible for design, development, and deployment of AI-powered applications in Canada. Collaborating in a cloud-native environment on intelligent workflows and data pipelines.
AWS
Azure
Cloud
Django
Docker
Flask
Kubernetes
Microservices
NoSQL
Python
SQL