Senior Sofware Engineer (AI) — The Rocks, Sydney
Expired

Senior Software Engineer (AI) Sydney, Australia Up to $210,000 package (inc Super) Bonus Permanent | Mid-level to Mid-Senior About Driven by our AI-first strategy, we are creating AI-native solutions and an AI-empowered workforce to deliver best-in-class experiences for over 2 million Australians. You will join our talented Enterprise AI Enablement team to build leading-edge solutions within our agentic AI ecosystem. What Role Will You Play? As a Software Engineer within the Enterprise AI Enablement team, you will be at the forefront of designing and building robust, scalable backend systems that power our AI-native solutions. With a strong emphasis on software engineering excellence, you will spend the majority of your time writing production-grade code and automating complex workflows to create a resilient foundation for our agentic AI ecosystem. You will: Take end-to-end ownership of products in a modern DevOps culture Design, architect, build, test, and operate scalable backend systems Work alongside data scientists in a multidisciplinary AI team Implement LLMOps best practices for deploying and monitoring AI models Build reliable, observable, and production-ready AI platforms This role is ideal for a software engineer who has transitioned into Data/ML & AI and wants to build enterprise-grade AI systems at scale. What You Offer 5 years' experience as a Software Engineer in an agile DevOps environment Strong object-oriented programming experience (Python preferred) Experience across the full SDLC: design, build, test, and support mission-critical production platforms Proven ability to write robust, production-grade code and automate complex workflows Hands-on experience with CI/CD pipelines Experience managing deployments in containerised cloud environments (Docker/Kubernetes) Exposure to modern agentic AI frameworks and concepts such as: RAG (Retrieval-Augmented Generation) MCP GCP Vertex AI Google ADK LangChain / LangGraph LlamaIndex Knowledge of LLMOps best practices for model experimentation, deployment, and monitoring If you feel you possess the relevant skills to the above, apply now with most updated CV!

Applications close Sunday, 12 April 2026
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