Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Melbourne, Victoria, Australia
LLMPython
Job Description
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
- 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
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 serious tech autonomy from day one.
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