Backend Software Engineer - New Bets

We're Heidi.

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties.

Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart.

We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.

We’ve grown annual recurring revenue from $1 million to $50 million in two years.

To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund.

If you want to join us in doing work worth shipping, jump in.

The role

The New Bets squad builds Heidi's next products. Scribe already powers millions of patient visits a week, and Evidence and Remote are scaling behind it. Your job, alongside the New Bets PM and Team, is to build what comes next.

This is zero-to-one engineering with a distribution advantage most early products never get. Your v1s don't launch into silence, instead they go in front of clinicians who already open Heidi every day, and who will tell you within a week whether you have built something they need.

The squad is small on purpose. You'll build the whole thing: the React front end, the Python services behind it, and the prompts, retrieval and eval harnesses that make an LLM feature safe enough to put in front of a clinician. When a bet needs an onboarding flow, a data migration or a quick internal dashboard, that's you too. There's no one else to hand it to, so you will own the build from PoC through to production.

Some of what you build will be killed. Ultimately, most bets don't survive contact with a real clinic, and the winners graduate into staffed product lines that inherit your code. For this to work, the code that dies has to have been fast to write, and the code that lives has to be worth inheriting.

To fit in well with this team, you need to be the engineer who ships, ideally with: a few years of production software behind you, real judgment about what's good enough for a prototype versus what has to be right, and the appetite to own more surface area than any normal role would give you. If you're mid-level and impatient about it, this role is a fast-track to exposing yourself to complex problems and pushing towards a Senior level.

What you’ll do

• Build new products end to end: React/TypeScript front ends, Python services, and the LLM and voice pipelines in between

• Turn a one-page thesis into a working v0 in days, then decide with the PM what deserves a v1

• Make AI features trustworthy and compliant: prompting, retrieval and evals that hold up in a real clinic, not just in a demo

• Ship weekly, demo what you shipped, and let real usage settle arguments

• Spend time with clinicians to deeply understand how they actually work, and the blockers they face daily

• Work with our commercial teams to understand the business case behind what we build

• Instrument everything: usage, latency, failure modes. The scale-or-kill call runs on data you built the pipes for

• Hand winners over well: when a bet graduates, either you will continue to develop and maintain it, or a staffed team will pick up your codebase

What you'll need

• 3+ years shipping production software, we care much more about what you've shipped rather than time in seat

• A romantic streak about software. You believe great products can transform someone’s day.

• Full-stack fluency: Python on the back end, React/TypeScript on the front, comfortable owning everything from the schema to the UI

• Working fluency with LLM systems: prompting, retrieval, embeddings, evaluation and the judgment to build around their probabilistic nature

• You build with AI tools (Cursor, Claude Code, whatever ships faster) and can show what you've made with them

• Cloud fluency (AWS or GCP): you can stand up your own infrastructure and CI/CD and get code to users without a platform team

• A testing-in-production mindset: observability and feedback loops, because "works on my machine" doesn't survive a clinic

• Passion for AI, shown through hands-on building, prototyping, or side projects.

• You default to building over requesting.

• You're confident in your thinking and open to being wrong. Great ideas win regardless of who surfaces them.

You’ll join a team measured on real-world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders and designers who’ve felt (on every side of the equation) what non-care feels like, the moral and practical toll as a provider or receiver.

Building what we’re building isn’t always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn’t choose easy, we chose a purpose-driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it.

True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally.

We offer health and dental cover, a £700 annual learning and development budget, a £100/month health and wellness allowance, a £500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to £7,000, four weeks of work from anywhere per year, and serious equity.

We chose to open-source our benefits hub, if you care to take a peek.