Clinical AI Engineer

Clinical AI Engineer

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Meeveem Limited

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 focused on diversity, inclusion, and collective growth.
  • 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 employer: Meeveem Limited

Heidi is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic work culture where collaboration and creativity thrive. Employees benefit from equity from day one, a personal development budget, and a hybrid work environment that promotes work-life balance. With a commitment to inclusivity and professional growth, Heidi empowers its team to make a meaningful impact on global healthcare while working alongside world-class talent.

Meeveem Limited

Contact Detail:

Meeveem Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Clinical AI Engineer

Tip Number 1

Network like a pro! Reach out to people in the healthcare and AI sectors on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to clinical AI. This gives potential employers a taste of what you can do and how you think.

Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to clinical AI. We recommend doing mock interviews with friends or mentors to build confidence and get feedback.

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 seeing candidates who are proactive about their job search!

We think you need these skills to ace Clinical AI Engineer

Fullstack Development
Python
React
TypeScript
AI Integration
LLM (Large Language Model) Knowledge
Automatic Speech Recognition (ASR)

Some tips for your application 🫡

Show Your Passion for AI in Healthcare:When you're writing your application, let us see your enthusiasm for using AI to improve healthcare. Share any relevant experiences or projects that highlight your commitment to making a difference in the clinical space.

Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission at Heidi, so don’t hold back!

Highlight Your Clinical Experience:Since we’re looking for someone with formal medical training and real clinical experience, be sure to emphasise this in your application. Share examples of how your clinical background has informed your work in AI or tech.

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 talk about your experience with both frontend and backend development. Highlight specific projects where you've used Python and modern frameworks like React or TypeScript, and be ready to explain how you’ve owned features from the database schema to the UI.

Demonstrate Problem-Solving Prowess

Expect questions that test your ability to balance speed and quality in engineering. Share examples of when you had to make quick decisions to unblock a customer while still maintaining system integrity. This will show your pragmatic approach to problem-solving.

Engage with Real-World Scenarios

Prepare for situational questions that relate to optimising AI features for real-time interaction. Think about how you would handle latency issues in audio streaming and be ready to discuss your strategies for ensuring seamless conversational experiences for clinicians.