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AirTrunk

Manages hyperscale data centers for cloud

Staff AI Engineer

AI Application EngineeringUpdated on Nov 10
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in software engineering, AI/ML engineering, or a related discipline, including hands-on delivery and operation of complex production systems and agentic applications using tools, orchestration, and context management.
  • Strong software architecture skills across APIs, backend services, distributed systems, and enterprise integrations, with sound judgment about complexity and trade-offs.
  • Advanced Python skills and strong engineering fundamentals, including automated testing, code review, version control, and maintainable design; working knowledge of SQL and data access patterns.
  • Practical understanding of context engineering, memory, and agent evaluation, including assessment of task completion, tool behavior, and failure recovery.
  • Experience delivering secure cloud applications using CI/CD, containers, and observability in partnership with platform teams; understanding of application security, privacy, and responsible AI, including identity, authorization, and risks from model outputs and tool execution.
  • Demonstrated technical leadership, including guiding architectural decisions, planning pragmatic delivery, influencing across teams, mentoring engineers, and improving quality through reusable patterns and shared practices.

Responsibilities

  • Design and build AI agents that plan tasks, use tools, and adapt to results; select agent approaches, provide context and memory, connect agents securely to enterprise systems, and test them against realistic tasks to improve reliability.
  • Write and review production code, shape application architecture, and work with Product and Data teams to turn business needs into useful software.
  • Take AI applications from prototypes through production and ongoing support.
  • Establish automated tests, agent evaluations, and controlled release processes; monitor task success, speed, and cost to identify and resolve issues.
  • Partner with Platform engineers to support deployment and operational readiness across Azure, Databricks, and related services, ensuring applications recover safely when interrupted and avoid repeating actions.
  • Build privacy, security, and responsible AI controls into agent design, including appropriate access permissions, protected credentials, and human review for consequential actions.
  • Work with Security and business teams to assess risks, test for unsafe or unreliable behavior, and agree practical safeguards.
  • Lead complex technical work, make architectural decisions, mentor engineers, and share reusable tools and lessons with AirTrunk’s Data and AI community.

Desired Qualifications

  • Experience with Azure and Databricks, or comparable cloud and AI platforms.
  • Experience with TypeScript or JavaScript and web application development, particularly for delivering complete AI user experiences.
  • Experience with agent SDKs, MCP integrations, and AI-assisted software development, with strong review and verification practices.

About the Company

AirTrunk

Manages hyperscale data centers for cloud

AirTrunk builds and runs large-scale data center campuses in the Asia-Pacific and Japan region to support cloud computing, content delivery, and large enterprise clients. Its hyperscale facilities house the physical infrastructure—space and power—needed for cloud services, delivering reliable, energy-efficient data center capacity under long-term lease contracts with major cloud providers. The company designs, constructs, and operates these campuses to provide scalable, predictable infrastructure for customers who require substantial storage and processing capacity. AirTrunk differentiates itself by focusing on APJ regional expertise, large-scale campus design, and emphasis on reliability and energy efficiency to meet hyperscale demand. Its goal is to accelerate the growth of cloud services across the APJ region by offering scalable, sustainable digital infrastructure through long-term partnerships with cloud service providers.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$9.9B
Headquarters
Sydney NSW, Australia
Founded
2015

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