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) - Strong 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 reliable tech autonomy from day one.

📌 AI Solutions Architect AI & Data · Melbourne, VIC (Hybrid)
🏢 Ozler Care
📍 Melbourne