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software engineer

ai engineer - backend systems

sydney, new south wales
posted today
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this job offer closes 30 august 2026

job details

this job offer closes 30 august 2026

summary

  • sydney, new south wales
  • permanent

posted 30 july 2026

reference number
90M0712980_8035835153575513635

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job details

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.
...



As a Senior Engineer, you will focus on designing, building, and operating the robust backend platforms that drive enterprise AI solutions. Operating within a modern DevOps culture, you will take end-to-end ownership across architecture, build, automated testing, and cloud operations. You will spend the majority of your time writing high-performing code and working alongside data scientists to bring advanced agentic systems to life.

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 environment 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
  • Strong 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 environment (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 strong support, and values technical excellence.

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

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.

show more

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.


As a Senior Engineer, you will focus on designing, building, and operating the robust backend platforms that drive enterprise AI solutions. Operating within a modern DevOps culture, you will take end-to-end ownership across architecture, build, automated testing, and cloud operations. You will spend the majority of your time writing high-performing code and working alongside data scientists to bring advanced agentic systems to life.
...

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 environment 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
  • Strong 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 environment (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 strong support, and values technical excellence.

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

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.

show more
  • key responsibilities

    • Write production-grade code to build scalable backend systems for AI platforms
    • Automate complex operational workflows to build a resilient platform foundation
    • Implement LLMOps best practices to streamline model deployment and monitoring
    • Drive end-to-end SDLC ownership across architecture, testing, and cloud operations
    • Partner with data science teams to integrate modern agentic AI frameworks.
  • qualification

    • 7+ years in software engineering within an agile DevOps environment using Python
    • Strong exposure to modern agentic AI frameworks (such as RAG
    • MCP
    • GCP Vertex AI
    • LangChain
    • or LangGraph)

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    show job details

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