Job Description
AI Engineer
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Sydney | Hybrid | Permanent
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We're working with a technology-led organisation investing heavily in modern engineering capability and applied AI to improve how teams build, operate, and scale digital solutions and enabled with wider business.
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This is an chance 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.
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The Role
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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.
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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.
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What You'll Be Doing
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Build and deploy AI-driven applications and services in a production environment
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Develop scalable backend systems using Python
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Work across AWS to design, build, and operate cloud-native solutions
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Deploy and manage workloads in Kubernetes-based environments
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Collaborate with engineers, product,



and business stakeholders to deliver practical AI use cases
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Contribute to the design and evolution of internal platforms and tooling
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Translate business problems into technical solutions using a mix of software engineering and AI approaches
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Support continuous improvement across engineering practices, tooling, and delivery
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What We're Looking For
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Strong software engineering background (ideally backend-focused)
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Commercial experience building applications in Python
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Hands-on experience with AWS (compute, storage, networking fundamentals)
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Experience working with Kubernetes or containerised environments
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Exposure to AI/ML concepts or experience building AI-enabled features (LLMs, automation, data-driven systems, etc.)
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Ability to work in evolving environments where requirements aren't always fully defined
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Strong problem-solving skills and a pragmatic approach to delivery
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Comfortable collaborating across technical and non-technical stakeholders
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Why Consider This Role?
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Work on applied AI initiatives that are actually used in production
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Strong engineering leadership and mentorship
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Modern cloud and platform environment (AWS + Kubernetes)
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Opportunity to shape how AI is integrated into broader engineering systems
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📌 Ai Engineer (New South Wales)
🏢 Talenza
📍 New South Wales