AI Engineer
Contract Type
Permanent
Location
New South Wales, Sydney
Industry
IT
Specialisation
Business Intelligence & Data
Salary
AU$140000 - AU$150000 per annum + Super
Contact Name
Chris Louch
Contact Email
chris@talenza.com.au
Date published
10-12-2025
Job Reference
BBBH19514
Description
🚀 AI Engineer - Sydney
🌟 What You'll Do
🎯 What You Bring
💰 $140k + Super | 🏢 Hybrid | 📅 Full-Time
We're on a mission to transform how AI is built and deployed - and we need a brilliant AI Engineer to help bring cutting-edge solutions to life! 🤖✨
This isn't just a "deploy models" role. You'll build the foundation for our AI ecosystem, creating scalable, automated, and reliable systems that turn ideas into products people can rely on - every user, every time. ⚡
🌟 What You'll Do
- Deploy like a pro: Build and manage CI/CD pipelines for AI solutions. Implement GitOps principles so everything is versioned, declarative, and auditable.
- Engineer for scale: Optimize cloud and containerized infrastructure for performance and cost. Manage data pipelines, artifact lifecycles, and governance across all assets. ☁️🐳
- Build the AI "factory floor": Create reusable workflows, SDKs, templates, and self-service tools so the AI team can innovate faster without deep platform knowledge. 🔧🤖
- Guard the systems: Monitor health and performance, embed compliance, security, and data governance into every pipeline. Ensure our AI is trustworthy and robust. 🛡️📊
- Bridge tech worlds: Integrate AI systems across cloud-native and on-prem environments, ensuring smooth operation wherever needed. 🌐
🎯 What You Bring
- 2-4 years in MLOps, DevOps, AI infrastructure, or similar hands-on technical roles.
- Practical experience with AWS, Azure, or GCP, Docker, and orchestration systems.
- Automation & scripting skills (Python/Bash) with Infrastructure as Code and GitOps experience. 🐍💻
- Proven ability to build developer tools and self-service platforms (SDKs, CLI tools, templates) that simplify complex workflows.
- Solid understanding of compliance, security, and data governance in production systems.
- Experience with LLM architectures (e.g., RAG, vector databases) and monitoring tools like LangGraph, LangSmith, Langfuse is a big plus. ⚡🧠
- Team player and natural collaborator - you love sharing knowledge and solving problems together. 🤝
✨ Build AI that actually works in the real world and make a tangible impact every day.
If you want, I can also create a shorter, punchy LinkedIn-style version under 150 words that's even more eye-catching. Do you want me to do that?