At a Glance
- Tasks: Build innovative AI features to transform healthcare delivery and support clinicians.
- Company: Heidi, a fast-growing startup revolutionising healthcare with AI technology.
- Benefits: Equity from day one, personal development budget, wellness days, and hybrid work flexibility.
- Other info: Join a diverse team committed to reshaping the future of healthcare.
- Why this job: Make a global impact in healthcare while working with world-class talent.
- Qualifications: Medical degree, clinical experience, and proficiency in fullstack development.
The predicted salary is between 70000 - 90000 £ per year.
Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others. We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era.
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 will look 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.
- 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.
What do we believe in?
Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership. Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.
Why you should Join Heidi
- Real product momentum. We’re not trying to generate interest, we’re channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia’s fastest growing start-up.
- Equity from day one. When Heidi wins, you win. You’ll share directly in the success you help create.
- Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day.
- Work alongside world‑class talent. Join a team of operators and builders who’ve scaled unicorns.
- Global reach. Help shape our international expansion as we bring Heidi to key international markets.
- Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership, and your birthday off to recharge.
- Flexibility that works. A hybrid environment, with 3 days in the office.
Heidi’s commitment to Diversity, Equity and Inclusion
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 are proud to welcome all applicants as we’re committed to promoting a culture of opportunity for all. Help us reimagine primary care and change the face of healthcare in Australia and then around the world.
Senior Software Engineer - AI Care Platform (Voice) employer: Dormont Manufacturing Co
Heidi is an exceptional employer, offering a unique opportunity to work at the forefront of healthcare innovation in a dynamic and supportive environment. With a strong focus on employee growth, you will benefit from a personal development budget, wellness initiatives, and the chance to collaborate with world-class talent while making a tangible impact on global healthcare. Our hybrid work model promotes flexibility, ensuring a healthy work-life balance as we strive to expand our mission of enhancing care delivery worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - AI Care Platform (Voice)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Heidi or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI or voice tech, make sure to highlight them. We love seeing what you can do in action!
✨Tip Number 3
Prepare for the interview by understanding our mission and values. We’re all about enhancing healthcare while keeping it human, so be ready to discuss how your experience aligns with that vision.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Heidi team.
We think you need these skills to ace Senior Software Engineer - AI Care Platform (Voice)
Some tips for your application 🫡
Show Your Passion for Healthcare:When writing your application, let your passion for healthcare shine through. We want to see how your clinical experience and technical skills can contribute to our mission of enhancing care delivery. Make it personal and relatable!
Tailor Your Experience:Don’t just list your skills; connect them to the role! Highlight your experience with AI and voice technologies, and explain how they relate to the work we do at Heidi. This helps us see you as a perfect fit for our team.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use simple language to explain complex ideas, especially when discussing your technical expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Inside Out
Make sure you’re well-versed in both Python and modern frontend frameworks like React. Be ready to discuss your experience with fullstack development, especially how you've built and shipped features from the ground up.
✨Showcase Your Clinical Insight
Since this role requires a medical background, be prepared to share specific examples of how your clinical experience has informed your engineering decisions. Highlight any previous work on clinical AI products to demonstrate your understanding of the intersection between technology and healthcare.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you balance speed and quality in your work. Share examples of when you had to make quick decisions to unblock a project, and how you ensured that the solutions were still robust and effective.
✨Prepare for Real-Time Scenarios
Since optimising for real-time interaction is key, think about how you would handle audio streaming and token generation. Be prepared to discuss your approach to minimising latency and ensuring a seamless user experience for clinicians.