Senior AI / Machine Learning Engineers - Multiple Roles

Blackroc; City of Brisbane; On-site; AUD 140,000 - 190,000; Full time

Job summary

Blackroc in Brisbane is seeking senior AI / ML engineers to help rebuild internal AI tooling for local organisations. Roles cover Agentic AI, Applied AI/ML, and AI-first software engineering.

You will design, build, and operate AI systems in production, work with end users, own evals and costs, and help establish governance for AI initiatives.

Qualifications

• Shipped and operated production AI systems.
• Hands-on work with LLMs, agents, RAG or ML in production.
• Experience building with coding agents day to day.
• Strong Python or TypeScript and cloud experience.

Responsibilities

• Design, build and operate AI systems in production, end to end.
• Collaborate with users who will use what you build.
• Own evals, latency, cost and failure modes, not just the demo.
• Set governance standards for how AI is built and governed in new deployments.

Skills

Production AI systems

LLMs & agents in production

Coding agents

Python

TypeScript

Cloud: AWS/Azure/GCP

Tools

AWS

Azure

GCP

Job description

Senior AI / Machine Learning Engineers - Multiple Roles

THE ROLES

BLACKROC is recruiting a cluster of senior AI engineering roles for Brisbane organisations ranging from 40 to 2,000 people, each rebuilding internal systems and tooling around AI. The roles fall into three families:

• Agentic AI: production agents, MCP and tool-calling systems, LLM orchestration
• Applied AI / ML: production ML, search, ranking, RAG and evaluation pipelines
• AI-first Software Engineering: building AI-native internal platforms and tooling, and building them with agents - engineers who direct coding agents across a codebase and own what ships

Some roles sit inside the business alongside operational teams, finding the real problems and shipping the fix. Others sit closer to platform.

WHAT YOU'LL DO

• Design, build and operate AI systems in production, end to end
• Work directly with the people who use what you build
• Own evals, latency, cost and failure modes, not just the demo
• Set the standard for how AI is built and governed in businesses doing this for the first time

WHAT YOU BRING

• Deep software engineering fundamentals: you've shipped and run production systems
• Recent hands-on work with LLMs, agents, RAG or ML in production
• You already build with coding agents day to day, and you can tell me where they're wrong
• Strong in Python or TypeScript; comfortable across AWS, Azure or GCP
• Brisbane-based, on-site 3 or 4 days a week. Fully remote isn't available for these roles; must have full working rights.

WHY NOW

The big names have done this for years. It's now hitting SMEs and the upper mid-market, where there are fewer layers, less governance and sponsorship straight from the CEO and board. Fewer people between you and the outcome, and the outcome is visible.