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Melbourne, Victoria, Australia
Onsite
Want to be a part of Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company?
AirTrunk is a hyperscale data centre company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering the digital infrastructure that meet the needs of our customers - the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow.
Having opened Australia’s first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APME region. With backing from our investors, including Blackstone, this is just the beginning…
Come join the A-Team at AirTrunk, where the cloud meets the ground.
Your Impact
As a Staff AI Engineer at AirTrunk, you will lead the design and delivery of agentic AI applications and the software that brings them into everyday use. This hands-on role combines applied AI, software development and architectural judgement. You will build systems that plan, use tools and carry out multi-step work, taking them from experimentation to reliable production operation. Working with Product, Data, Platform and Security teams, you will shape technical direction, mentor engineers and improve how our teams work.
What You'll Do
You’ll design and build AI agents that can plan tasks, use tools and adapt to results. You’ll choose the right agent approach, give agents the context and memory they need, connect them securely to enterprise systems, and test them against realistic tasks to improve their reliability. You’ll also write and review production code, shape application architecture, and work with Product and Data teams to turn business needs into useful software.
You’ll take AI applications from early prototypes through to production and ongoing support. You’ll establish automated tests, agent evaluations and controlled release processes, then monitor task success, speed and cost to identify and resolve issues. Working with Platform engineers, you’ll support deployment and operational readiness across Azure, Databricks and related services, making sure applications can recover safely when interrupted and avoid repeating actions.
You’ll build privacy, security and responsible AI controls into agent design, including appropriate access permissions, protected credentials and human review for consequential actions. You’ll work with Security and business teams to assess risks, test for unsafe or unreliable behaviour, and agree practical safeguards. You’ll also lead complex technical work, make architectural decisions, mentor engineers and share reusable tools and lessons with AirTrunk’s Data and AI community.
What You'll Bring
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