Equity-Backed AI Backend Engineer for Clinician Tools

Heidi

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Private medical cover
Dental cover
Hybrid work schedule
Learning & development budget
Home office budget (£500)

Job summary

Heidi is hiring for a full‑stack engineer to build the next generation of AI care tools. You will own front to back development, from React/TypeScript UI to Python services and LLM pipelines, shipping features weekly with clinicians in mind.

You will work in a hybrid London setup, owning significant surface area and shaping production-ready systems that scale across healthcare contexts. Prior experience with AI tooling is highly valued.

Qualifications

  • 3+ years shipping production software.
  • Full-stack fluency: Python on the back end, React/TypeScript on the front end.
  • Working fluency with LLM systems: prompting, embeddings, evaluation and building around probabilistic behavior.
  • Experience building AI features end-to-end with confidence in deployment.
  • Willingness to own broad surface areas and ship repeatedly.

Responsibilities

  • Build new products end to end: React/TypeScript front ends, Python services, LLM pipelines.
  • Turn ideas into a working v0 rapidly and decide what deserves a v1.
  • Make AI features trustworthy and compliant for real clinics.
  • Ship weekly and demonstrate outcomes with real usage.
  • Engage with clinicians to understand workflows and blockers.

Skills

Full-stack development
LLM systems
Cloud infrastructure
Observability & testing in prod
Product ownership

Tools

Docker
Kubernetes
AWS/GCP

Job description

Heidi is hiring for a full‑stack engineer to build the next generation of AI care tools. You will own front to back development, from React/TypeScript UI to Python services and LLM pipelines, shipping features weekly with clinicians in mind.

You will work in a hybrid London setup, owning significant surface area and shaping production-ready systems that scale across healthcare contexts. Prior experience with AI tooling is highly valued.

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