jobapplier

Lead Engineer (AI FDE)

Xero

Skills

Required

  • programming languages
  • Python / TypeScript
  • SDKs
  • webhooks
  • automations
  • APIs
  • cloud infrastructure

Preferred

  • AI
  • agents / copilots / RAG
  • Claude / Gemini
  • delivery of AI-driven solutions
  • LLMs
  • platforms
  • developing reusable automation patterns

Xero as a Lead AI Workflows Engineer, where you will play a crucial role in transforming the company into an AI-native organization. You will work closely with various internal business teams to design and operationalize AI workflows that eliminate manual tasks and enhance productivity.

Responsibilities

  • Your responsibilities will include leading the delivery of AI agents, integrating AI systems with core enterprise platforms, developing reusable automation patterns, and building evaluation frameworks to measure performance.
  • You will also have the opportunity to coach and uplift the AI fluency of your colleagues.
  • Lead the delivery of high-stakes AI agents from discovery to production, acting as a technical partner and evangelist.
  • Design and iterate on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP, and integrate AI systems with core enterprise platforms.
  • Develop reusable automation patterns and shared templates to be used by the business, and build evaluation and monitoring frameworks to measure performance.
  • You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication

Requirements

  • 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 possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks
  • You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs
  • You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure

Preferred

  • Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini