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

This role is remote-friendly within Australia.

Responsibilities:

• Build and evolve systems for agents to discover and execute capabilities at scale.
• Design tool schemas for accurate LLM tool selection.
• Develop evaluation pipelines to measure tool calling behavior.
• Collaborate with product and platform teams for integration of agentic capabilities.
• Mentor engineers on integration patterns and evaluation methodology.

Requirements:

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