Senior AI / Machine Learning Engineers - at BLACKROC
South Australia, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

21 Dec, 26

Salary

60000.0

Posted On

22 Sep, 26

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description


No essay, no polish, no cover letter. Plain text, real detail. Subject line: AI Roles – [your name] – [Agents / ML / Platforms].

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 


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.

Two profiles fit: software engineers who've crossed into AI, or AI/ML engineers with serious production engineering underneath.


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 C
Responsibilities


No essay, no polish, no cover letter. Plain text, real detail. Subject line: AI Roles – [your name] – [Agents / ML / Platforms].

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 


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.

Two profiles fit: software engineers who've crossed into AI, or AI/ML engineers with serious production engineering underneath.


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 C
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