At a Glance
- Tasks: Build innovative AI features to transform healthcare delivery and support clinicians.
- Company: Join 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: Be part of a diverse team dedicated to reshaping the future of healthcare.
- Why this job: Make a real impact in healthcare while working with world-class talent on meaningful projects.
- Qualifications: Medical degree, clinical experience, and proficiency in fullstack development.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, Melbourne, Sydney
Employment Type: Full time
Location Type: Hybrid
Department: Engineering
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.
The Role
Working closely with the Product Lead, you will be a Mid-level or Senior Fullstack 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.
Senior Software Engineer - Clinical Background employer: black.ai
Heidi is an exceptional employer that offers a unique opportunity to work at the forefront of healthcare innovation, combining clinical expertise with cutting-edge technology. 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 and the chance to shape the future of care delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Clinical Background
✨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 in real-time! Consider building a small project or contributing to open-source software that showcases your fullstack abilities. This is a great way to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on your clinical knowledge and AI technologies. Be ready to discuss how your background can directly impact the development of AI features at Heidi. They want to see how you think!
✨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 and making a difference in healthcare.
We think you need these skills to ace Senior Software Engineer - Clinical Background
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 informs your approach to software engineering, especially in the context of AI in healthcare.
Be Specific About Your Skills:When listing your technical skills, be specific! Mention your proficiency in Python, React, and any experience with AI and voice technologies. We’re looking for someone who can own a feature from start to finish, so let us know how you fit that bill.
Tailor Your Application:Don’t just send a generic application. Tailor your CV and cover letter to reflect our mission and values at Heidi. Show us how your goals align with expanding healthcare capacity while keeping it human. We love seeing genuine interest!
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. Plus, it shows us you’re serious about joining our team and making an impact in healthcare!
How to prepare for a job interview at black.ai
✨Know Your Stuff
Make sure you brush up on your fullstack fundamentals, especially in Python and React. Be ready to discuss how you've applied these skills in real-world scenarios, particularly in clinical settings. They’ll want to see that you can own a feature from the database schema to the UI interaction.
✨Show Your Clinical Side
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 it shaped your approach to problem-solving.
✨Talk Tech
Familiarise yourself with voice AI and audio technologies like ASR. Be ready to discuss how you would implement and fine-tune audio processing pipelines. They’ll appreciate candidates who can bridge the gap between model and product effectively.
✨Emphasise Collaboration
Heidi values teamwork, so be sure to highlight your experience working with cross-functional teams. Discuss how you’ve partnered with implementation and clinical teams to shorten feedback loops and deliver features quickly. Show them you can thrive in a fast-paced environment!