Software Engineer - Clinicial Background in London

Software Engineer - Clinicial Background in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
black.ai

At a Glance

  • Tasks: Build innovative AI features that transform healthcare delivery and enhance clinician workflows.
  • Company: Heidi, a pioneering AI Care Partner startup revolutionising healthcare.
  • Benefits: Equity from day one, personal development budget, wellness days, and hybrid work flexibility.
  • Other info: Collaborate with top talent and enjoy excellent career growth opportunities.
  • Why this job: Join a mission-driven team making a real impact in global healthcare.
  • Qualifications: Medical degree, clinical experience, and software development skills in Python and React.

The predicted salary is between 60000 - 80000 £ per year.

Location: London

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. We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era.

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: black.ai

Heidi is an exceptional employer that empowers its employees to make a meaningful impact in healthcare through innovative AI solutions. With a strong commitment to personal development, a hybrid work environment, and a culture that values diversity and collaboration, employees can thrive while contributing to a mission that enhances the human connection in care delivery. Join a team of world-class talent and enjoy unique benefits like equity from day one, wellness days, and a supportive atmosphere that prioritises growth and balance.

black.ai

Contact Details:

black.ai Recruitment Team

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 a job description just can't.

Tip Number 2

Show off your skills in real-time! If you get the chance, participate in coding challenges or hackathons. This is a great way to demonstrate your fullstack mastery and problem-solving abilities while having fun.

Tip Number 3

Prepare for interviews by understanding Heidi's mission and values. Be ready to discuss how your clinical background and engineering skills can contribute to their goal of enhancing healthcare. Tailor your answers to show you're a perfect fit!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Heidi team.

We think you need these skills to ace Software Engineer - Clinicial Background in London

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

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 background informs your approach to engineering, especially when it comes to building AI features that support real-world care delivery.

Be Specific About Your Skills:When detailing 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 show us you can do just that!

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. We love seeing candidates who understand our goals and can articulate how they can contribute to our vision of transforming healthcare.

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 genuinely interested in joining our team at Heidi!

How to prepare for a job interview at black.ai

Know Your Stuff

Make sure you brush up on your technical skills, especially in Python and React. Be ready to discuss your experience with fullstack development and how you've applied AI in clinical settings. They’ll want to see that you can bridge the gap between tech and healthcare.

Showcase Your Clinical Experience

Since this role requires a medical background, be prepared to share specific examples of how your clinical experience has informed your engineering work. Highlight any projects where you’ve developed solutions that directly impacted patient care or clinician workflows.

Demonstrate Problem-Solving Skills

Heidi values pragmatic problem-solving, so think of examples where you balanced speed and quality in your work. Be ready to discuss how you’ve tackled challenges in past projects, especially those involving real-time interactions or AI features.

Emphasise Team Collaboration

This role involves working closely with various teams, so highlight your experience in collaborative environments. Share stories about how you’ve partnered with clinical teams or other engineers to deliver impactful solutions quickly, showing that you can thrive in a fast-paced setting.