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AI Engineer

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Nine

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Location:
Australia , North Sydney

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Science & AI team develops, builds, and delivers production-grade AI products to provide solutions to business problems. Key responsibilities include architecting scalable software, building agentic workflows, and managing the ops and pipelines used to deploy them. We push the envelope in what is possible and work on new and novel implementations of AI engineering. Areas of focus for the team include leveraging LLMs to assist our content creation stakeholders, architecting enterprise-grade semantic search engines, and building agentic workflows that transform raw data into actionable business operations.

Job Responsibility:

  • Architect, maintain and deploy scalable and robust production-grade AI applications and microservices
  • Champion utilising non-deterministic flows to drive measurable business outcomes
  • Design advanced retrieval architectures (RAG) and optimise LLM orchestration for latency and cost
  • Build robust APIs to integrate AI agents with internal databases and third-party tools
  • Evaluate agent's performance using evaluations and tests to iterate on prompts, agent tools and agents orchestration to improve output quality and reliability
  • Manage the observability and logging of deployed agents to proactively identify and resolve edge cases
  • Champion engineering best practices and stay ahead of the rapidly evolving GenAI landscape

Requirements:

  • Strong programming skills in Python with a recent focus on building scalable production grade AI applications
  • Proven experience with orchestration frameworks (ADK preferred) and implementing RAG architectures with Vector Databases
  • Understanding of software design, service architecture, and best practices for scalable systems
  • A proven track record of prior production-grade projects utilising prompt engineering & system design with considerations for latency and user experience

Nice to have:

  • Master's degree in Computer Science or AI
  • Deep understanding of foundational models and fine-tuning techniques
  • Knowledge of evaluation frameworks (e.g., RAGAS, TruLens) or "LLM-as-a-judge" patterns
  • Familiarity with Google Cloud Platform (Vertex AI) and containerisation (Docker/Kubernetes)
What we offer:
  • 18 weeks paid parental leave with no distinction between primary and secondary carers
  • Access to 'Employee Exclusives' program - a way of getting closer to our incredible brands, offering unique experiences, behind-the-scenes access, and awesome perks
  • Digital newspaper subscription to our mastheads
  • Annual gift voucher for Stan subscription

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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