Are you ready to shape the future of applied enterprise AI within a highly supportive, global financial ecosystem? Join an elite enterprise enablement team dedicated to creating AI-native solutions for over two million clients. This is your chance to combine high-level engineering craft with cutting-edge agentic frameworks, building systems that directly power modern financial services.

About You
Exposure to modern agentic AI concepts and frameworks: RAG, MCP, GCP vertex AI, google ADK, LangChain, LangGraph, or LlamaIndex
7+ years of experience as a engineer in an agile DevOps setting using an object-oriented development language (python preferred)
Knowledge of "LLMOps" best practices for streamlining model experimentation, deployment, and monitoring in a live environment.
Experience across the full SDLC including design, build, test, and supporting mission-critical production platforms
Solid proficiency in writing robust, production-grade code to build scalable backend solutions and automate complex workflows




Demonstrated proficiency with CI/CD pipelines and managing deployments in a containerised cloud workplace (Docker/Kubernetes)

What's in it for you
Enterprise Innovation: Play a central role in an enterprise-wide AI initiative with high visibility and direct impact.
Global Career Pathways: Develop your career within a top-tier financial organisation operating across 30 global markets with over five decades of continuous profitability.
Cooperative Engineering Culture: Work in a multidisciplinary team environment that encourages fresh ideas, provides robust support, and values technical excellence.

If you are a focused engineering professional ready to shape next-generation AI platforms, we welcome your application.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
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📌 Ai Engineer Backend Systems City Of Sydney
🏢 Randstad Digital Australia
📍 City of Sydney