Founding Engineer (£60k-£80k + Equity) at ThinkDivergent

  • Jack & Jill/External ATS
  • 10/05/2026
Full time Information Technology Telecommunications Python

Job Description

Founding Engineer (£60k-£80k + Equity) at ThinkDivergent - Building the Neurodevelopmental OS

Company Description

ThinkDivergent - Building the AI-powered Neurodevelopmental Operating System (NDOS)

Job Description

Join ThinkDivergent as our first engineering hire to revolutionize neurodevelopmental care. You will work directly with the CTO to build an AI-native platform that replaces manual NHS processes with intelligent workflows for ADHD and autism assessments. This is a high autonomy role focused on creating production grade healthcare software that impacts real patient lives.

Why this role is remarkable
  • Be the first engineering hire at a revenue generating startup already operating live contracts within the NHS and private healthcare sector.
  • Work in a true AI first environment using tools like Cursor and Claude to design agentic workflows rather than manually writing boilerplate code.
  • Directly influence the architecture and culture of a company solving the five year waiting list crisis for neurodivergent patients through scalable infrastructure.
What you will do
  • Build core platform features end to end across a stack featuring React, Python Cloud Functions, Firebase, and GCP infrastructure.
  • Take full ownership of system reliability and resilience, ensuring production grade stability for clinicians and patients under stress.
  • Collaborate with the CTO to shape product direction, exploring how AI can streamline referral, triage, and clinical decision making pathways.
The ideal candidate
  • Possesses 1-4 years of full stack experience with a natural instinct for building intuitive, beautiful frontend interfaces that improve clinical usability.
  • Is an AI native developer who uses LLM tools as their default workflow but possesses the technical rigour to validate and refine generated outputs.
  • Demonstrates high agency and edge case thinking, instinctively anticipating how systems might fail in complex, regulated healthcare environments.