AI Engineer

Get AI-powered advice on this job and more exclusive features. This range is provided by Kaliba. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range A$150,000.00/yr - A$170,000.00/yr Direct message the job poster from Kaliba Connecting top talent to Global Software Vendors in APAC Do you want to take AI beyond flashy prototypes and into production systems that actually change how organisations operate? Are you the kind of engineer who thrives on turning bleeding-edge ideas into robust, scalable tools? Do you want the freedom to experiment and the mandate to deploy? If you’re nodding along, this might be the role where you do your best work. This team helps forward-thinking businesses leap from “AI curiosity” to AI-driven operations. That means delivering conversational AI, autonomous agents, and workflow automation tools that don’t just demo well — they deliver measurable impact . Here, your ideas move quickly from whiteboard to production. No endless sign-offs. No MVPs gathering dust. Just real-world systems, deployed at scale, making a difference. What you’ll be building: Production-grade AI solutions – Conversational AI, autonomous agents, workflow automation Optimised RAG pipelines – Using LLMs and vector databases for high-relevance, low-latency results Systems that stick – Translating architecture into robust, maintainable code Integrated intelligence – Connecting models, APIs, databases, and platforms seamlessly Deployment excellence – CI/CD, model performance monitoring, zero-surprise rollouts Scalable solutions – Tackling latency, versioning, and scaling challenges head-on Tech stack you’ll play with: You’ll thrive here if you: Have 3–5+ years in software or ML engineering Have shipped LLM-based tools or agent workflows into production Understand RAG architectures, vector search, and prompt engineering deeply Are confident with DevOps and CI/CD Can solve problems autonomously but collaborate when it counts Have experience in consulting, SaaS, or product delivery Why this role stands out: You’ll work at the frontier of applied AI — not just read about it Small team = big impact + fast decision-making Projects move from idea to deployment in weeks, not quarters Flexibility to choose the right tech for the job Competitive package with performance upside – up to $170k base + Super + Bonus If you’re ready to build AI systems the world actually uses, we’d love to see what you’ve created. Apply now — let’s see what we can build together. 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