About the Company
Join a purpose-driven organisation that is transforming the way healthcare is delivered. Backed by strong leadership and investment in Data & AI, the business is building intelligent platforms that empower clinicians, streamline workflows, and ultimately improve patient outcomes.
This is an exciting stage of growth where your contributions will directly influence how advanced technologies are applied in real-world settings.
About the Role
We are seeking a Senior AI Engineer to design, build, and scale AI-powered solutions that drive clinical and operational intelligence. This role combines deep technical AI/ML expertise with a product-focused mindset. You’ll work across the full lifecycle of AI development, from prototyping and prompt engineering through to secure, production-grade deployment.
Reporting to the Director of Data & AI, you will collaborate closely with product managers, engineers, and clinical experts to deliver solutions that are safe, explainable, and impactful in real-world use cases.
Key Responsibilities
- Create and optimise LLM-driven features that enable summarisation, information extraction, and workflow automation
- Build scalable frameworks for prompt engineering, context management and RAG pipelines
- Develop machine learning models for prediction, anomaly detection, and regression models for clinical applications
- Leverage structured and unstructured datasets to design features and train robust models
- Integrate ML/AI services into core applications using modern cloud and containerised deployment methods
- Establish monitoring and guardrails to ensure models remain safe and reliable
- Strengthen engineering practices by contributing to reviews, documentation, and technical design
- 5+ years deep Machine Learning experience, including 2+ years building LLM-powered applications, and ability to deliver AI/ML solutions into user-facing products
- Advanced Python development skills (eg FastAPI, Flask)
- Hands-on expertise with open-source LLM tooling (eg LangChain, LlamaIndex) and RAG pipeline development
- Solid knowledge of AWS cloud services and containerised deployment (eg Docker, ECS, Lambda)
- Experience implementing monitoring and evaluation for LLMs and ML models (e.g. Langfuse)
- Proven knowledge of semantic search, embeddings, and vector databases
- Domain experience in healthcare or medical NLP preferred
- $180,000-$200,000 base + super
- Super flexible model, 1 day onsite in Sydney
- Opportunity to shape a growing AI function in a supportive, collaborative environment
- Work on meaningful projects where technology directly improves lives
- Great growth potential and career progression
