Senior Software Engineer - (Clinical AI) - UK in London

Senior Software Engineer - (Clinical AI) - UK in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Heidi

At a Glance

  • Tasks: Build innovative AI features that transform healthcare delivery and support clinicians.
  • Company: Heidi, a pioneering AI Care Partner company revolutionising healthcare.
  • Benefits: Equity from day one, comprehensive health cover, and flexible work options.
  • Other info: Dynamic hybrid work environment with excellent growth opportunities and a focus on diversity.
  • Why this job: Join a mission-driven team making a real impact in healthcare with cutting-edge technology.
  • Qualifications: Medical degree, clinical experience, and software development skills required.

The predicted salary is between 70000 - 90000 £ 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.
  • Operationalise 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 behaviour, prompting strategies, and audio handling.
  • Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimising 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.
  • 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 - working on a product that delivers tangible, real-world value to clinicians and patients every day.
  • Work alongside world-class talent. Join a team of operators and builders who've scaled unicorns.
  • Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend.
  • Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility.
  • Fertility support. £7,000 one-off payment, eligibility applies.
  • Learning & development. £700 per year for courses, books, memberships, conferences and more.
  • Home office budget. £500 one-off to set up a workspace you actually want to work in.
  • Recharge days after major milestones and busy periods so you can reset and come back strong.
  • Work from anywhere for up to 4 weeks per year, wherever the world takes you.
  • Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements.
  • 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.

Senior Software Engineer - (Clinical AI) - UK in London employer: Heidi

Heidi is an exceptional employer that champions innovation in healthcare through its AI Care Partner, fostering a collaborative work culture where clinicians and engineers unite to enhance patient care. With a strong commitment to employee growth, comprehensive benefits including equity from day one, and a focus on work-life balance through flexible arrangements and recharge days, Heidi empowers its team to make a meaningful impact in the healthcare sector while enjoying a supportive and inclusive environment.

Heidi

Contact Details:

Heidi Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer - (Clinical AI) - UK in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Heidi. A personal introduction can make all the difference when it comes to landing that interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to clinical AI or fullstack development. This gives you a chance to demonstrate your expertise beyond just a CV.

Tip Number 3

Prepare for the interview by understanding Heidi's mission and values. Be ready to discuss how your background in engineering and clinical experience aligns with their goals of enhancing healthcare through AI.

Tip Number 4

Apply directly 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 - (Clinical AI) - UK in London

Fullstack Development
Python
React
TypeScript
AI Integration
Voice AI
Automatic Speech Recognition (ASR)

Some tips for your application 🫡

Show Your Passion for Healthcare:When you're writing your application, let your passion for healthcare shine through! We want to see how your clinical experience and technical skills can make a real difference in the lives of clinicians and patients. Make it personal and relatable!

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to highlight your relevant experience with clinical AI products and fullstack development. We love seeing how you connect your background to what we do at Heidi.

Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and fluff. Highlight your key achievements and skills that align with the role, making it easy for us to see why you’re a great fit!

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 at Heidi!

How to prepare for a job interview at Heidi

Know Your Stuff

Make sure you brush up on your fullstack fundamentals, especially in Python and React. Be ready to discuss how you've built end-to-end solutions in the past, as this role is all about architecting and shipping features that support clinical workflows.

Show Your Clinical Side

Since this position requires a medical background, be prepared to share your clinical experiences and how they inform your engineering decisions. Highlight any previous work with clinical AI products, as this will demonstrate your understanding of the intersection between technology and healthcare.

Talk About Teamwork

Heidi values collaboration, so think of examples where you've partnered with cross-functional teams. Discuss how you've worked with implementation and clinical teams to shorten feedback loops and deliver features quickly, showcasing your ability to bridge the gap between tech and real-world application.

Be Ready for Problem Solving

Expect to face some practical problem-solving scenarios during the interview. Prepare to discuss how you've balanced speed and robustness in your projects, and be ready to explain your approach to testing and monitoring AI features in production environments.