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We’re looking for a qualified doctor or clinician with AI/ML expertise to join our Medical Knowledge (MK) team as a Medical AI Specialist. You’ll bring your clinical expertise as well as technical expertise in software, AI, and machine learning into a fast-paced, hyper-growth startup environment. In this role you’ll: 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
Job Responsibility:
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
What we offer:
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!