heidihealth.com.au

AI Fine Tuning LLM Machine Learning Model Evaluation +4 skills

last week

Clinical AI Engineer

HybridUK

United Kingdom

We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported…

Open 16d On-siteNorth AmericaC-level

2 weeks ago

GTM Engineer

United States

Who We Are Healthcare needs a better rhythm: one that keeps care continuous and human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible. We're a team of doctors, engineers,…

Agentic AI AI Analytics API Automation +10 skills

Open 30d HybridNorth America

Product Manager, Intelligence

United States

Product Manager for Heidi Health's clinical intelligence products: owns the roadmap for analytics, reporting, and AI-native data surfaces that turn millions of weekly clinical sessions into insights for clinicians and health systems. Requires strong technical depth, LLM fluency, and data-product experience; based in Sydney or Melbourne.

AI Analytics API Claude Code Data Quality +3 skills

AI Analytics Claude Code Embeddings Fine Tuning +1 skills

Deployed Product Manager, Health Systems

Open 93d HybridAPAC

Australia

Owns AI-powered healthcare documentation products for health systems, deploying solutions on-site, driving adoption, and balancing build-vs-configure trade-offs while ensuring revenue targets.

150K – 250K AUD

AI Amplitude Analytics Android Bluetooth +7 skills

Product Manager, Apps

Open 128d HybridAPAC

Australia

Product Manager owning Heidi's iOS, Android, and desktop apps used by 200,000+ clinicians daily, focused on performance, polish, platform strategy (native vs Electron), and mobile monetisation. Requires deep iOS/Android fluency, LLM literacy, and Amplitude-based data skills; based in Sydney or Melbourne.

Open 38d HybridAPACSenior

Senior AI Infrastructure Engineer

Australia

Senior engineer on Heidi Health's model team, owning the AI infrastructure behind its clinical AI products: deploying and serving LLMs in production, managing GPU clusters and scheduling, tuning inference performance and cost, and supporting distributed training, observability, and reliability. Core stack includes serving engines like vLLM/TensorRT-LLM, Kubernetes/Slurm, Python plus a systems lang

AI Automation C++ CUDA Distributed Training +18 skills