05 Sep
|
BLACKROC Contingent
|
Queensland
05 Sep
BLACKROC Contingent
Queensland
Job Description
I'm looking for people who have moved beyond AI demos and are actually shipping things.
n
The role:
n
A major global travel business has built a small frontier AI team in Brisbane and is hiring a Senior Machine Learning Engineer into it.
n
It's deliberately small. Deeply technical. Close to product.
n
You'll absolutely experiment with new models, frameworks and techniques, but success isn't a paper or an impressive notebook. It's something people actually use.
n
What are they building?
n
The team is already shipping production AI and pushing deeper into agentic systems, multi-agent orchestration, MCP, retrieval, ranking and evaluation.
n
Millions of customers. Live inventory. Huge supplier ecosystems. Complex commercial rules. Real transactions.
n
What happens when agents can understand a traveller's intent, reason across choices, interact with live systems, coordinate specialist agents and progressively execute more of the journey?
n
You'll work across:
n
n
Production agentic and multi-agent systems
n
Orchestration frameworks, director agents and sub-agents
n
MCP servers, tool-use and context environments
n
Retrieval, vector search, ranking and embeddings
n
Evaluation harnesses, graders and judge models
n
Model routing and post-training where it improves the product
n
Observability, infrastructure and guardrails for production AI
n
n
Most importantly,
you'll take prototypes through to real production traffic.
n
You're not joining a giant AI function to own one microscopic component.
n
The team is small enough that you'll influence architecture, product decisions and what gets built next. But behind it sits the data, infrastructure, customers and distribution of a major global organisation.
n
Who gets my attention? Builders.
n
You'll probably have 5+ years shipping production ML or AI, strong Python and enough software engineering depth to own what you build through deployment and operation.
n
n
You may be deep in Agentic AI, LLMs, Multi-Agent Systems, Retrieval, Ranking, Evaluation, MCP or ML Infrastructure.
n
You absolutely don't need every acronym.
n
I'd rather see one genuinely difficult system you've built than twelve technologies you've "worked with".
n
Solid product instincts matter.
n
Engineering judgement matters.
n
Evidence that you ship matters most.
n
n
You must have full Australian working rights, and your resume is essential.
n
I unfortunately can't promise everyone who emails me a 'quick chat'. What I can do is personally evaluate what you send.
n
If this particular role isn't quite right, I'm currently recruiting across around a dozen different kinds of cross-functional agentic AI opportunities in Brisbane, so good people are absolutely worth knowing.
📌 Senior Ai / Machine Learning Engineer (Queensland)
🏢 BLACKROC Contingent
📍 Queensland