At a Glance
- Tasks: Build AI features that enhance clinical workflows and improve patient care.
- Company: Heidi, a fast-growing AI healthcare startup with a mission to transform care delivery.
- Benefits: Equity from day one, personal development budget, wellness days, and hybrid work flexibility.
- Other info: Be part of a diverse team dedicated to reimagining primary care globally.
- Why this job: Join a team making a real impact in healthcare while working with cutting-edge technology.
- Qualifications: Medical degree, clinical experience, and proficiency in fullstack development.
The predicted salary is between 60000 - 80000 € per year.
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.
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.
- Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.
- Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.
- Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.
- Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.
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.
Software Engineer - Clinicial Background in London employer: Heidi
Heidi is an exceptional employer, offering a unique opportunity to work at the forefront of healthcare innovation in Australia. With a strong commitment to employee growth, you will benefit from a personal development budget, wellness days, and a hybrid work environment that promotes work-life balance. Join a diverse team of world-class talent dedicated to making a meaningful impact on global healthcare while enjoying equity from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Clinicial Background in London
✨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 might just land you an interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI or clinical applications, 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 expanding healthcare capacity while keeping it human. Show us how your background aligns with that vision!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love candidates who take that extra step!
We think you need these skills to ace Software Engineer - Clinicial Background in London
Some tips for your application 🫡
Show Off Your Clinical Background:Make sure to highlight your medical training and clinical experience in your application. We want to see how your unique background can inform our AI features and improve real-world care delivery.
Be Specific About Your Skills:When detailing your technical skills, be specific about your proficiency in Python, React, and any AI technologies you've worked with. We love seeing candidates who can bridge the gap between engineering and clinical needs!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experiences align with our mission at Heidi. Show us why you’re the perfect fit for this role and how you can contribute to our goals.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Heidi
✨Know Your Tech Inside Out
Make sure you’re well-versed in both Python and modern frontend frameworks like React or TypeScript. Be ready to discuss your experience with fullstack development and how you've tackled challenges in previous projects, especially those involving AI and voice technologies.
✨Showcase Your Clinical Insight
Since this role requires a clinical background, be prepared to share specific examples of how your medical training has influenced your engineering decisions. Highlight any experience you have with clinical AI products and how that knowledge can help bridge the gap between technology and real-world healthcare applications.
✨Demonstrate Problem-Solving Skills
Heidi values pragmatic problem-solving, so come equipped with examples of how you've balanced speed and quality in your work. Discuss situations where you had to make quick decisions to unblock a project and how you ensured the solutions were effective in production environments.
✨Prepare for Real-Time Scenarios
Given the focus on real-time interaction, think about how you would optimise performance for audio streaming and token generation. Be ready to discuss any relevant experiences where you’ve implemented solutions that minimised latency and improved user experience in a clinical setting.