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Lyrebird Health is seeking a competent full-stack engineer to deliver features from concept to production across a SvelteKit front end, Python FastAPI services and Postgres. A strong candidate will bring production TypeScript and Python, hands-on work integrating large language models, and solid SQL and AWS operating experience.
Breadth across layers and the judgement to lead in some areas and learn in others matter more than depth in one layer.
The role asks for a full stack engineer who can take features from idea to production across a SvelteKit front end, Python FastAPI services and Postgres. A strong candidate brings production TypeScript and Python, hands on work integrating large language models, and solid SQL and AWS operating experience. Breadth across layers and the judgement to lead in some areas and learn in others matter more than depth in one layer.
Much of the work sits directly on AI: building clinical document types, tuning prompts and models, and cutting the latency and cost of generation without losing quality. The human side stays in tracing slow requests, finding root causes of incidents, reviewing code and deciding what is safe to ship. AI speeds up parts of the build, but judgement about quality and safety remains with the engineer.
The role offers hands on practice with prompt engineering, structured output, streaming and cost control inside a live clinical product. It also builds skill in evaluating prompts and protecting personal data in text. Someone preparing could build small projects that call language models with structured output and measure latency and cost, since that mirrors the daily work here.
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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.