Full-Stack AI Engineer for Clinician Care Platforms

black.ai; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Equity from day one

Private medical and dental cover (Bupa

Sonder mental health support

£100/month Healthy Heidi stipend

Global parental leave

Learning & development £700/year

Home office budget £500

Recharge days

Work from anywhere up to 4 weeks per年

Job summary

Heidi is building an AI Care Partner to support clinicians from documentation to care delivery. The New Bets squad builds Heidi's next products, shipping quickly to real clinics with a full-stack ownership—from React front ends to Python services and LLM workflows.

You will own the build from PoC to production, iterating with clinicians and PMs, and ensuring safety and compliance for live clinical use.

Qualifications

• 3+ years shipping production software.
• Full-stack fluency: Python on the back end, React/TypeScript on the front.
• Working fluency with LLM systems: prompting, retrieval, embeddings, evaluation.
• Experience with AI tooling (Cursor, Claude Code) and demonstrable results.
• Cloud fluency (AWS or GCP) and CI/CD familiarity.
• Testing-in-production mindset: observability and feedback loops.
• Product instincts and ability to push for shipping with PM alignment.
• Healthcare experience not required but passion for healthcare helps.

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
• Ship weekly, demo what you shipped, and let real usage settle arguments
• Spend time with clinicians to deeply understand how they actually work and blockers
• Work with our commercial teams to understand the business case behind what we build
• Instrument everything: usage, latency, failure modes; data pipelines drive decisions
• Hand winners over well: when a bet graduates, either continue development or pass to a staffed team

Skills

Python

React/TypeScript

LLM systems

Cloud (AWS/GCP)

CI/CD

Observability

Testing-in-production

Product instincts

Fast shipping

Healthcare interest

Tools

Cursor

Claude Code

Job description

Heidi is building an AI Care Partner to support clinicians from documentation to care delivery. The New Bets squad builds Heidi's next products, shipping quickly to real clinics with a full-stack ownership—from React front ends to Python services and LLM workflows.

You will own the build from PoC to production, iterating with clinicians and PMs, and ensuring safety and compliance for live clinical use.