Job Description
Who We Are
Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.
We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.
In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.
Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health.
The Role
Working closely with the Product Lead, you will be an Engineer who operates at the intersection of core product development and clinical application.
This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate, and ship AI features that support real-world care delivery. Experience working on clinical AI products is highly valued, as you’ll be shaping systems that must perform safely in production environments.
What you’ll do:
Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows.
Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments.
Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling.
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience.
Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters.
What we're looking for:
Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction.
Medical degree with clinical experience, and ideally experience working on clinical AI products
Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature.
Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer.
Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently.
Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild.
Medical degree with clinical experience, and ideally experience working on clinical AI products
The Way We Work
1. Build to Last
We design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.
2. Own Your Practice
Ideas rise on merit, not title, and everyone shares responsibility for the standards we set together.
3. Move Fast, Stay Steady
We move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.
4. Make Others Better
Honest feedback, steady support, and shared growth keep our teams improving together.
Why you will flourish with us
Flexible hybrid working environment, with 3 days in the office.
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!
Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.
Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.
We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.
In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.
Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health.
The Role
Working closely with the Product Lead, you will be an Engineer who operates at the intersection of core product development and clinical application.
This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate, and ship AI features that support real-world care delivery. Experience working on clinical AI products is highly valued, as you’ll be shaping systems that must perform safely in production environments.
What you’ll do:
Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows.
Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments.
Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling.
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience.
Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters.
What we're looking for:
Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction.
Medical degree with clinical experience, and ideally experience working on clinical AI products
Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature.
Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer.
Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently.
Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild.
Medical degree with clinical experience, and ideally experience working on clinical AI products
The Way We Work
1. Build to Last
We design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.
2. Own Your Practice
Ideas rise on merit, not title, and everyone shares responsibility for the standards we set together.
3. Move Fast, Stay Steady
We move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.
4. Make Others Better
Honest feedback, steady support, and shared growth keep our teams improving together.
Why you will flourish with us
Flexible hybrid working environment, with 3 days in the office.
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!
Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.
💡 Quick Summary
Seeking a career-building opportunity? The Clinical AI Engineer position is now open for candidates interested in the Back Office Jobs sector. This role in Sydney offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Back Office Jobs is a plus.
