Full Stack Engineer, TORTUS AI

£60-80k

Generous equity package

React
TypeScript
GCP
Node.js
Terraform
Rust
Mid and Senior level
London

9 Day fortnight

4+ days a week in office (Holborn, London)

TORTUS AI

Building a next generation AI co-pilot for clinicians

Job no longer available

TORTUS AI

Building a next generation AI co-pilot for clinicians

1-20 employees

HealthcareB2BArtificial IntelligenceDeep Tech

Job no longer available

£60-80k

Generous equity package

React
TypeScript
GCP
Node.js
Terraform
Rust
Mid and Senior level
London

9 Day fortnight

4+ days a week in office (Holborn, London)

1-20 employees

HealthcareB2BArtificial IntelligenceDeep Tech

Company mission

To eliminate human error in healthcare - TORTUS AI believes clinicians co-working with an AI in 5 years time will eliminate most if not all of the every day mistakes in medicines that get people killed, so it is building that system today to save lives.

Role

Who you are

  • A product focussed mindset and empathy for our customers and the patients that they help
  • Experience developing performant and scalable backend systems
  • Experience in scaling and maintaining software products with large user bases (i.e > 10k DAUs)
  • Experience with Cloud DevOps (ideally GCP)

Desirable

  • Desktop or native app development experience
  • Experience and interest in Rust
  • Strong interest in machine learning and AI, particularly with Large Language Models (LLMs)

What the job involves

  • Develop our multi-platform desktop app (Rust, TypeScript, React) to be used by clinicians and hospitals
  • Support scaling of our backend systems (Node JS / GCP serverless infrastructure)
  • Leverage your Cloud DevOps experience to optimize and enhance our pipelines
  • Help develop and productionise our Medical LAM (Large Action Model)
  • Work in a collaborative, supportive and innovative environment

Application process

  • 1. Apply via Otta
  • 2. Short video chat & introduction
  • 3. Technical Interview (In person)
  • 4. Culture interview
  • 5. Chat with the CTO / CEO

Salary benchmarks

Otta's take

Sam Franklin headshot

Sam Franklin

CEO of Otta

It is no secret that the healthcare system has been slow to adopt many of the modern technologies prevalent across other industries, with clinicians still spending heaps of their time on manual administrative tasks that could be better spend on patient care.

TORTUS AI is setting out to revolutionise the way health professionals work, with a voice-controlled AI "co-pilot" capable of clinical language tasks such as notes summarisation and writing letters. The company states that prototypes of this solution, named OSLER (Operating System Leverage in Electronic Records), sped up clinics by 60% - with doctors able to spend 100% of their time on patients and 0% on paperwork.

TORTUS AI has already made good progress in the space, having piloted the prototype OSLER with dozens of physicians, signed NDAs with three EHR companies in the UK and Canada, and secured two co-development partnership hospitals. With such momentum, the company has a heap of potential, and is certainly one to watch as it further develops.

Insights

50% female employees

Company

Employee endorsements

Challenging work

"What we're doing is novel, so there's never a boring day! We're pushing our technology forward all the time and knowing that the outcome will help..."

Company benefits

  • Generous holiday allowance
  • 9 Day fortnight
  • £100 monthly benefit budget

Company values

  • Patient first
  • Be kind
  • Stay curious
  • kick ass

Company HQ

Holborn, London, UK

Founders

Founder-In-Residence (LD19) with Entrepreneur First, and Specialty Trainee with the Faculty of Pharmaceutical Medicine. Former Clinical Lead for Cardiology at ORCHA. Previously founded the Healthcare Worker's Foundation, as well as working as a Clinical Consultant.

Founder-In-Residence with Entrepreneur First. Was a Graduate Researcher at the UCL Centre for Statistics and Machine Learning. Previously co-founded Aletheia, a company aimed at commercialising a graph neural network model for detecting and classifying misinformation online.

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