AI Engineer

Sydney | Hybrid | Permanent

We're working with a technology-led organisation investing heavily in up-to-date engineering capability and applied AI to improve how teams build, operate, and scale digital solutions and enabled with wider business.

This is an opportunity to join a high-performing engineering team focused on building intelligent systems that integrate into a broader cloud and platform environment. You'll be working closely with an experienced Engineering Manager and contributing to real-world AI initiatives that drive business outcomes.

The Role

You’ll sit within a modern engineering team delivering AI-enabled solutions across a cloud-native environment. This is a hands-on role suited to someone with a strong development background who enjoys building, shipping, and iterating on production-grade systems.

You’ll work across the full lifecycle - from problem definition through to deployment - with a focus on pragmatic, scalable solutions rather than experimentation for its own sake.

What You’ll Be Doing

- Build and deploy AI-driven applications and services in a production environment
- Develop scalable backend systems using Python
- Work across AWS to design, build, and operate cloud-native solutions
- Deploy and manage workloads in Kubernetes-based environments
- Collaborate with engineers, product,



and business stakeholders to deliver practical AI use cases
- Contribute to the design and evolution of internal platforms and tooling
- Translate business problems into technical solutions using a mix of software engineering and AI approaches
- Support continuous improvement across engineering practices, tooling, and delivery

What We’re Looking For

- Strong software engineering background (ideally backend-focused)
- Commercial experience building applications in Python
- Hands-on experience with AWS (compute, storage, networking fundamentals)
- Experience working with Kubernetes or containerised environments
- Exposure to AI/ML concepts or experience building AI-enabled features (LLMs, automation, data-driven systems, etc.)
- Ability to work in evolving environments where requirements aren’t always fully defined
- Strong problem-solving skills and a pragmatic approach to delivery
- Comfortable collaborating across technical and non-technical stakeholders

Why Consider This Role?

- Work on applied AI initiatives that are actually used in production
- Strong engineering leadership and mentorship
- Modern cloud and platform environment (AWS + Kubernetes)
- Opportunity to shape how AI is integrated into broader engineering systems

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📌 AI Engineer (City of Sydney)
🏢 Talenza
📍 City of Sydney