Overview

Design and implement the AI-powered capabilities across our product suite — from OzlerScribe's voice-to-documentation engine to intelligent compliance gap analysis. You'll own the AI architecture end-to-end.

What you’ll do
Architect and deploy LLM-based pipelines for document generation, classification, and analysis
Design retrieval-augmented generation (RAG) systems grounded in Australian regulatory frameworks
Evaluate, fine-tune, and benchmark models for accuracy, latency, and cost
Collaborate with product and compliance teams to ensure AI outputs meet regulatory standards
Establish best practices for prompt engineering, model evaluation, and AI safety

What you need
Degree in Computer Science, AI/ML, or equivalent practical experience
3+ years experience building production ML/AI systems




Deep hands‑on experience with LLMs (OpenAI, Anthropic, or open‑source models)
Robust Python skills; experience with LangChain, vector databases, and cloud ML infrastructure
Excellent communication skills — able to translate complex AI concepts for non-technical stakeholders

Why work at Ozler

We’re building the compliance platform that protects vulnerable Australians. Every feature you ship lands in front of real aged‑care, NDIS, and home‑care providers — your code measurably improves care quality. Hybrid‑first culture, founder‑direct mentorship, learning budgets, and responsible tech autonomy from day one.
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📌 Ai Solutions Architect Ai & Data · Melbourne, Vic Hybrid
🏢 Ozler Care
📍 Melbourne