At a Glance
- Tasks: Build innovative AI features to enhance healthcare delivery and support clinicians.
- Company: Heidi, a pioneering AI Care Partner transforming healthcare globally.
- Benefits: Equity from day one, personal development budget, wellness days, and hybrid work flexibility.
- Other info: Collaborative culture with opportunities for growth and global reach.
- Why this job: Join a mission-driven team making a real impact in healthcare 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.
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?
- 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.
Why You Should Join Heidi:
- Real product momentum. We’re not trying to generate interest, we’re channeling it.
- Equity from day one. When Heidi wins, you win.
- Unmatched impact. Play a pivotal role at a critical growth moment.
- Work alongside world-class talent. Join a team of operators and builders who’ve scaled unicorns.
- Global reach. Help shape our international expansion.
- 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 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.
Clinical AI Engineer in London employer: Meeveem Limited
Heidi is an exceptional employer, offering a unique opportunity to work at the forefront of AI in healthcare. 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 patient care while enjoying equity from day one and the chance to shape our international expansion.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Heidi. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your experience with AI and clinical applications, make sure to share them during interviews. It’s all about demonstrating how you can contribute to their mission.
✨Tip Number 3
Prepare for technical challenges! Brush up on your fullstack fundamentals and be ready to discuss how you’d tackle real-world problems. They want to see your problem-solving skills in action, so practice coding challenges beforehand.
✨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, it shows you’re genuinely interested in being part of the Heidi team.
We think you need these skills to ace Clinical AI Engineer in London
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 qualifications; 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. Use clear language to describe your skills and experiences, making it easy for us to understand your background. Remember, we appreciate clarity over jargon!
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 Meeveem Limited
✨Know Your Stuff
Make sure you brush up on your clinical knowledge and AI technologies. Be ready to discuss how your medical training informs your engineering decisions, especially when it comes to building AI features that support real-world care delivery.
✨Showcase Your Fullstack Skills
Be prepared to demonstrate your proficiency in both Python and modern frontend frameworks like React. Have examples ready that showcase your ability to own a feature from the database schema all the way to the UI interaction.
✨Talk About Real-World Applications
Discuss any previous experience you've had with clinical AI products. Highlight how you've translated clinician feedback into technical solutions and how you’ve optimised systems for real-time interaction in medical environments.
✨Emphasise Team Collaboration
Heidi values partnership with implementation and clinical teams. Be ready to share examples of how you've worked collaboratively to shorten feedback loops and deliver critical integrations quickly. Show that you understand the importance of teamwork in delivering exceptional care.