AI Engineer - South Bank, QLD
Quick Summary
At Flight Centre Travel Group (FCTG) our purpose is to 'open up the world for those who want to see'. Every day,

At Flight Centre Travel Group (FCTG) our purpose is to 'open up the world for those who want to see'. Every day, we give people all around the world the opportunity to experience something really amazing – travel!
Join our Data Science & AI team and help shape the future of AI solutions across Flight Centre Travel Group's Supply business.
As the AI Engineer, you will design, build and deploy production-grade AI systems, working across both classical machine learning and modern agentic AI workflows. This is a hands-on opportunity to contribute across the full AI engineering lifecycle, from development and testing through to deployment, monitoring and optimisation.
If you enjoy collaborating with cross-functional teams to deliver scalable, reliable AI solutions that drive meaningful business outcomes, we encourage you to apply!
Responsibilities
~1 min read- →Design, develop and deploy agentic AI workflows and LLM-powered applications in production environments
- →Apply classical machine learning techniques including classification, regression and clustering to solve business problems
- →Implement and maintain MLOps and LLMOps pipelines, including CI/CD, model registry, monitoring and automated evaluation
- →Build, test and optimise AI agent components, endpoints and orchestration layers
- →Develop and maintain AI pipelines using Azure Machine Learning, Databricks and Azure DevOps
- →Write clean, scalable and well-documented Python code for AI applications, APIs and data processing
- →Support observability across AI systems through logging, monitoring, latency tracking and evaluation frameworks
- →Containerise and deploy AI workloads using Docker and Kubernetes
- →Contribute to safeguard testing, guardrails and responsible AI implementation
- →Collaborate with Data Scientists, Architects, Data Engineers, Infrastructure Engineers and Security Engineers to integrate AI solutions into broader technology ecosystems
- →Participate in code reviews, technical design discussions and knowledge-sharing initiatives
- →Support data governance and responsible AI practices across all engineering activities
- →Stay current with emerging AI technologies, frameworks and engineering best practices
Requirements
~1 min read- Experience in software engineering, AI/ML engineering or a related technical discipline
- Strong Python programming skills and understanding of software engineering principles
- Exposure to machine learning concepts, including supervised and unsupervised learning techniques
- Experience or familiarity with AI application development and agentic AI workflows
- Understanding of cloud platforms, preferably Microsoft Azure
- Familiarity with containerisation technologies including Docker and Kubernetes
- Understanding of CI/CD concepts and version control using Git
- Tertiary qualification in Computer Science, Software Engineering, Data Science, Mathematics or a related field
- Highly desirable: Azure AI Engineer Associate and/or Azure Data Scientist Associate certifications
- Highly desirable: Experience with TypeScript, React, Terraform or Bicep
- Highly desirable: Experience building data engineering pipelines using PySpark and Databricks
- Demonstrated contributions to open-source AI projects or published technical work will be advantageous
What you'll Enjoy:
Location & Eligibility
Listing Details
- First seen
- August 20, 2026
- Last seen
- August 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 44%
- Scored at
- August 20, 2026
Signal breakdown
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