Senior Engineer - AI Practice

Summary

Join LaunchCrew to enhance Agentic AI/MCP platforms and boost engineering productivity. You will design, build, and deploy multi-agent workflows to streamline engineers' tasks, improve developer experience, and reduce toil. Responsibilities include creating how-to guides and demos, mentoring junior engineers, collaborating across teams, and ensuring service health. The role requires experience in backend services, AI agent prototyping, and developer documentation. Xero offers generous paid leave, health insurance, life insurance, income protection, wellbeing programs, parental leave, an employee share plan, flexible working, and career development opportunities.

Requirements

• 3+ years’ experience building and operating backend services (for example, with .NET Core and Python) and defining CI/CD pipelines
• Demonstrated ability to prototype end-to-end AI agents—spanning orchestration, deployment and monitoring
• Strong track record creating developer-focused documentation, tutorials and demos
• Excellent collaboration skills: you partner across functions, solicit feedback and drive consensus
• Experiment-driven mindset: you thrive in ambiguity, iterate rapidly from spike to delivery and put users first

Responsibilities

• Design, prototype and ship AI/MCP workflows and agent examples to streamline tasks such as pipeline migration and incident triage
• Build and maintain the infrastructure behind MCP servers, and provide BAU support for Accelerator’s templates and CLI
• Create concise guides, sample code, and demo scripts that help engineers learn our AI releases and empower them to upskill and build their own AI agents for their specific use cases
• Deliver live demos and partner with facilitators to showcase real-world AI workflows
• Own production support—triage incidents, drive reliability improvements and lead post-incident reviews
• Mentor junior engineers and collaborate with Education, Platform and Security teams to validate designs and share best practices
• Run spikes on emerging AI/ML frameworks, gather metrics and feedback, and refine both code and enablement materials

Benefits

• Offering very generous paid leave to use however you’d like (plus statutory holidays!), dedicated paid leave to care for your physical and mental wellbeing as well as an Employee Assistance Program to access mental health care for you and your family
• Health insurance, life insurance, and income protection
• We offer wellbeing and sports programmes, employee resource groups, 26 weeks of paid parental leave for primary caregivers, an Employee Share Plan, beautiful offices, flexible working, career development, and many other benefits that reflect our human value