This is a senior technical leadership role for someone who sets architecture direction across a live clinical AI product and then builds the hardest parts themselves. A robust candidate has shipped complex production systems, made trade-off calls others adopted, and grown other senior engineers. Comfort with unclear problems and the ability to explain decisions to non-engineers matter as much as coding skill.

How it fits the AI era

The role sits where AI meets live clinical work, so the engineer shapes how AI systems are built, evaluated and shipped so clinicians can trust them. Judgement about accuracy, latency and risk stays human, as does deciding what to build and why. AI speeds up parts of the work, but the architecture calls and the accountability for them remain with people.

How it builds AI experience

The job offers hands-on work running AI systems in production and judging whether they actually work,



inside a product that turns consultations into notes and care plans. Someone building toward this could gain experience evaluating AI output quality, handling real-time pipelines, and setting standards for shipping AI safely. Healthcare or safety-critical background helps but is listed as optional.

Worth showing

- Technical direction at scale
- Production AI systems
- Architecture trade-off judgement
- Real-time streaming systems
- Growing senior engineers

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Lyrebird Health

An AI scribe built directly into Australia's most-used GP software, auto-filling care plans from the consultation rather than just writing a note.

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📌 Staff Software Engineer (Melbourne)
🏢 present of AI
📍 Melbourne