- In this role, you will play a critical part in designing, building, and deploying backend generative AI solutions that power automated, intelligent workflows

- You will take ambiguous, complex R&D; problems and convert them into production-ready software, ensuring our models are robust, scalable, and secure

- Your engineering expertise will directly shape our machine learning architecture, ensuring the team maintains absolute ownership of the production-grade code that moves into deployment

- By championing technical excellence and acting as a role model, you will drive clarity across teams and elevate our overall technical capabilities

- You will join the AI North America team, a highly collaborative and innovative group of around 40 people working remotely across Canada and the US in the PST timezone
- The team consists of applied scientists and engineers who work together closely on cutting-edge Agentic AI implementations within an agile framework

- Together, you will focus on building AI-native user experiences and driving technical clarity in a supportive environment
- The team is currently working on:

- Developing JAX 3.0, transitioning our chatbot into a next-generation, AI-native platform for work

- Building the infrastructure and workflows required for agentic performance and evaluation

- Evaluating,



rewriting, and adapting models into production-grade backend solutions

- Optimising our core technical stack which includes Python, AWS, Kubernetes, PydanticAI, and Temporal

- Our team connects primarily through virtual meetings and Slack- Excellent communication skills to align effectively with product managers, project managers, and R&D; leaders across the business

- Curious and fluent with AI tools, knowing how to leverage them to accelerate research and development without compromising on code quality
- A deep sense of ownership and understanding of code, with a commitment to maintaining 100% accountability for everything moved into production
- A solid background in building highly scalable backend engineering solutions in cloud environments
- The ability to independently navigate ambiguity and translate complex challenges into clear, working technical solutions

- Familiarity with Python, Kubernetes, GenAI, machine learning concepts, or frontend interfaces would be a welcome addition to the team

- Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team

📌 Staff Machine Learning Engineer (Vancouver)
🏢 Xero
📍 Vancouver