Software Engineer - Clinicial Background

Software Engineer - Clinicial Background

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

At a Glance

  • Tasks: Build AI features that enhance clinical workflows and improve patient care.
  • Company: Heidi, a fast-growing AI healthcare startup with a mission to transform care delivery.
  • Benefits: Equity from day one, personal development budget, wellness days, and hybrid work flexibility.
  • Other info: Collaborate with world-class talent and help shape global healthcare solutions.
  • Why this job: Join a team making a real impact in healthcare while working with cutting-edge technology.
  • Qualifications: Medical degree, clinical experience, and proficiency in fullstack development.

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 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 inclusion, Heidi offers unique opportunities for growth while ensuring a balanced work-life experience. Join a team of world-class talent dedicated to transforming care delivery and enjoy benefits like equity from day one, wellness days, and a supportive atmosphere that fosters collaboration and excellence.

black.ai

Contact Details:

black.ai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Clinicial 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 job descriptions just can't.

Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI or clinical applications, make sure to highlight them. It’s a great way to demonstrate your expertise beyond just words.

Tip Number 3

Prepare for the interview by understanding Heidi's mission and values. Think about how your clinical background and engineering skills can contribute to their goals. Tailor your answers to show you’re not just a fit for the role, but for the company culture too.

Tip Number 4

Don’t forget to 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.

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

Fullstack Development
Python
React
TypeScript
AI Integration
Audio Processing
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 unique background can inform our AI features and improve real-world care delivery.

Be Specific About Your Skills:When detailing your technical skills, be specific about your proficiency in Python, React, and any AI technologies you've worked with. We love seeing concrete examples of how you've applied these skills in past projects.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience aligns with our mission at Heidi. Show us why you’re the perfect fit for this role and how you can contribute to our goals.

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 and shows us you’re serious about joining our team!

How to prepare for a job interview at black.ai

Know Your Stuff

Make sure you brush up on your clinical knowledge and technical skills. Since this role requires a solid understanding of both software engineering and clinical applications, be prepared to discuss how your medical background informs your approach to building AI features.

Showcase Your Problem-Solving Skills

Be ready to share specific examples of how you've tackled complex problems in previous roles. Highlight instances where you balanced speed with quality, especially in a clinical context, as this will resonate well with the interviewers.

Familiarise Yourself with AI and Voice Tech

Since the role involves working with AI and voice technologies, make sure you understand concepts like LLM integration and ASR. Be prepared to discuss how you've applied these technologies in real-world scenarios, as this will demonstrate your practical experience.

Emphasise Team Collaboration

Heidi values teamwork, so be ready to talk about how you've collaborated with cross-functional teams in the past. Share examples of how you’ve worked with clinicians or other stakeholders to gather feedback and implement changes quickly, showcasing your ability to bridge the gap between tech and healthcare.