Senior Machine Learning Engineer - Agent Tools Interop (AU remote)

This role is based in Sydney, Australia with remote-friendly options available.

Responsibilities:

• Build systems for agents to discover and invoke capabilities at scale.
• Design tool schemas for accurate LLM tool selection.
• Operate evaluation pipelines to measure tool calling behavior.
• Collaborate with product and platform teams on AI capabilities.
• Advise teams on defining tools for agent use.
• Partner with engineers on governance and safety.
• Mentor engineers on integration patterns.

Requirements:

• Hands-on experience with LLM tool-use and function calling.
• Proficiency in Java; Python or TypeScript is a plus.
• Experience in ML and platform engineering collaboration.
• Familiarity with MCP, LangChain, or similar frameworks.

What you'll learn:

• Expertise in AI integration architecture.
• Cross-functional influence across teams.
• Exposure to evolving agentic ecosystems.