Full stack AI Engineer (Java background) (New South Wales)

Full stack AI Engineer (Java background) (New South Wales)

15 Aug
|
Mane Consulting
|
New South Wales

15 Aug

Mane Consulting

New South Wales

Join our mission to build the most intelligent, customer-centric bank in Australia! Driven by our AI first strategy, we're 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 on our agentic AI ecosystem. We are currently looking for an AI engineer to lead our AI innovation efforts, and deliver significant value for Banking and Financial Services.

What role will you play?

As an AI engineer in the enterprise AI enablement team, you will be at the forefront of designing and building the robust, scalable backend systems that power our AI-native solutions. With a primary focus 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'll take end-to-end ownership of your products in a modern DevOps culture, responsible for architecture, design, development, testing, and operations.



Working in a multi-disciplinary team alongside our data scientists, you will apply your engineering expertise to implement "LLMOps" best practices and streamline the deployment and monitoring of cutting-edge AI models.

What You Offer

- 7+ years of experience as a AI Engineer in an agile DevOps environment using an object-oriented development language (python preferred)
- 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)
- Exposure to modern agentic AI concepts and frameworks: RAG, MCP, GCP vertex AI, google ADK, LangChain, LangGraph, or LlamaIndex
- Knowledge of "LLMOps" best practices for streamlining model experimentation, deployment, and monitoring in a live workplace.

📌 Full stack AI Engineer (Java background) (New South Wales)
🏢 Mane Consulting
📍 New South Wales

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