Distinguished Technologist driving AI architecture and technical design for HPE private cloud solutions. Leading AI initiatives and architectural decisions across PCAI’s applied AI portfolio.
About the role
- Medical AI Specialist with AI/ML expertise at healthtech startup supporting clinicians with AI Care Partner. Collaborating across teams to build reliable, high-impact AI features.
Responsibilities
- Help shape our AI products by infusing medical insights with deep technical knowledge
- Collaborate across teams to turn clinician needs into reliable, high-impact AI features
- Own the clinical integrity of Heidi: advise clinicians, troubleshoot edge cases, and validate outputs
- Partner with product, engineering and design teams to engineer prompts, build agentic AI, create model evaluation frameworks, and fine-tune models.
- Build cutting-edge AI features within Heidi using the latest tools and frameworks
- Plan and collaborate on research studies that prove our AI scribe’s clinical accuracy and user impact
- Advise leadership on clinical quality and product roadmap priorities
- Mentor colleagues and help build a culture of clinical excellence and collaboration
Requirements
- Clinician with AI product experience
- Previous hands-on experience building scalable AI products or features for healthcare settings
- LLM & foundation-model expertise
- Deep experience with large language models and provider APIs (OpenAI, Claude, Gemini), building LLM-powered healthcare products and features
- Prompt engineering & safety
- Proven track record crafting, iterating, and testing prompts; mitigating bias and hallucinations; embedding clinical safety guardrails
- Cross-functional collaboration
- Translate clinical needs into technical specs, partner closely with engineering and product teams, and embed quality controls for clinician trust
- Performance optimization
- Optimise AI features for accuracy, latency, scalability, and cost (“fast, safe, cheap”)
- RAG pipelines & evaluation
- Build and maintain retrieval-augmented generation pipelines and automated evaluation workflows (traditional ML metrics, LLM-as-judge, A/B tests, clinician feedback loops)
- AI agent design & fine-tuning
- Design, build, and orchestrate multi-step AI agents; fine-tune or adapt models on medical datasets
- Semantic search & vector DBs
- Hands-on experience with embeddings, vector databases, and agent frameworks like LangChain
- Software engineering & ML fundamentals: **Fundamental understanding of Python, JavaScript, SQL; experience with cloud platforms and ML frameworks
Benefits
- Flexible hybrid working environment, with 3 days in the office.
- Additional paid day off for your birthday
- Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc.
- A generous personal development budget of $500 per annum
- Learn from some of the best engineers and creatives, joining a diverse team
- Become an owner, with shares (equity) in the company, if Heidi wins, we all win
- The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
- If you have an impact quickly, the opportunity to fast track your startup career!
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