Backend Software Engineer - New Bets

Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. 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.

Responsibilities

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

Requirements

3+ years shipping production software, we care much more about what you've shipped rather than time in seat; 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; Product instincts: you ask what the user is trying to do, and you'll argue with the PM when the ticket is wrong; Speed as a habit, with weekly demos and a bias to ship over a bias to plan; Strong opinions, weakly held: you'll shift the room when you're right; Healthcare experience isn't required, but a genuine passion for wanting healthcare to work better is important

Nice to have

Healthcare experience; genuine passion for wanting healthcare to work better

Benefits

Real product momentum; Equity from day one; Unmatched impact; Work alongside world-class talent; 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; Recharge days after major milestones and busy periods; Work from anywhere for up to 4 weeks per year; Clinical leave: 10 days per year for eligible clinical roles; Flexibility that works: hybrid environment, with 3 days in the office