Health Tech AI Engineer: Build Scalable AI-Driven Rehab

Carda Health

United Kingdom

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

Carda Health seeks an AI Engineer to build impactful AI-powered patient-focused products. You will work on the AI product stack from research to backend integration, collaborating with the CTO and CPO to design, deploy, and scale AI-driven features.

As the first AI hire, you will set the standard for applying AI to core business workflows, owning technical direction and navigating AI/ML challenges with a strong engineering mindset.

Qualifications

  • 2+ years of hands-on AI-focused engineering experience.
  • 5+ years of full-stack or backend-focused software engineering experience.
  • Fluency with APIs like OpenAI, Gemini, Claude and open-source foundation models.
  • Experience building and shipping software end-to-end in fast-paced environments.
  • Strong proficiency in Python.

Responsibilities

  • Collaborate with clinicians, product managers, and other engineers to identify high-impact AI use cases and bring them to life.
  • Rapidly prototype ideas using off-the-shelf tools like OpenAI, Hugging Face, LangChain, Pinecone, and anything else that helps us move fast.
  • Develop, optimize, and maintain AI agent workflows, ensuring high-quality interactions, scalability, and adherence to user safety standards.
  • Integrate AI workflows with backend API services and infrastructure, ensuring seamless deployment, robust performance, and clear observability.
  • Design and manage prompt engineering, evaluation, and optimization workflows.
  • Build out our internal AI stack and shape best practices - technically and ethically - as we scale.

Skills

Python
LLMs
Prompt engineering
Back-end development
APIs
Full-stack

Tools

OpenAI API
Hugging Face
LangChain
Pinecone

Job description

Carda Health seeks an AI Engineer to build impactful AI-powered patient-focused products. You will work on the AI product stack from research to backend integration, collaborating with the CTO and CPO to design, deploy, and scale AI-driven features.

As the first AI hire, you will set the standard for applying AI to core business workflows, owning technical direction and navigating AI/ML challenges with a strong engineering mindset.

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