HealthTech Product Engineer - AI-Driven Full-Stack Ownership

Referment

Greater London

On-site

GBP 90,000 - 130,000

Full time

8 hours ago
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Job summary

Referment is seeking a hands-on Product Engineer to transform ambiguous ideas into reliable, production-ready features. You will collaborate with machine-learning engineers and clinicians to deliver value across end-to-end product delivery in a regulated health-tech setting.

You will own features from design to release, design APIs and data models, and ensure robust testing and thoughtful trade-offs in a fast-paced startup environment in the UK.

Qualifications

  • At least five years of professional software engineering experience.
  • Strong hands-on full-stack proficiency with Python, React, and AWS.
  • A product-minded mindset with ownership of substantial features from design to release.
  • Ability to understand requirements from clinicians and engineers and balance trade-offs.
  • Comfort working with incomplete specifications and making independent product and engineering decisions.

Responsibilities

  • Build and ship complex, AI-enabled full-stack features from initial scoping through production release.
  • Design sensible APIs, data models and application flows that scale with the product.
  • Collaborate with technical colleagues and clinical users to clarify requirements and improve workflows.
  • Test features thoroughly and handle real-world state, data flow and edge cases.
  • Move quickly in a startup environment while managing scope and avoiding avoidable debt.

Skills

Python
React
AWS
Product-minded
Ownership
LLM APIs
TypeScript
Auth0
Communication

Tools

Amazon Bedrock
REST APIs

Job description

Referment is seeking a hands-on Product Engineer to transform ambiguous ideas into reliable, production-ready features. You will collaborate with machine-learning engineers and clinicians to deliver value across end-to-end product delivery in a regulated health-tech setting.

You will own features from design to release, design APIs and data models, and ensure robust testing and thoughtful trade-offs in a fast-paced startup environment in the UK.

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