Medical AI Specialist
Posted on:
May 31, 2025
Job description
The Role
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
Responsibilities
What you’ll do:
- 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
Job requirements
What we will look for:
- 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
