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Ai Healthtech
Charing Cross, United Kingdom
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 100K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Clean Code Principles
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
Distributed Systems
Django
Python
Software Engineering
Flask
Backend
FastAPI
Build Management
Containerization
Performance Monitor

Job description

Sells : Work on cutting-edge AI systems that power healthcare innovation at scale. Full remote flexibility across the UK, total ownership of greenfield projects, modern tech stack (Python / FastAPI / Cloud), and a culture that rewards curiosity, autonomy, and clean engineering.

An AI HealthTech company is expanding its high-calibre engineering team and looking for Software Engineers who thrive on building elegant, scalable systems from the ground up.

You'll be joining a small, world-class team working on distributed backend platforms, data-driven AI tools, and core infrastructure supporting advanced medical technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems in healthcare.

Role

  • Design and build production-grade backend systems using Python and FastAPI
  • Develop distributed, high-performance services and APIs for AI-driven platforms
  • Contribute to architecture decisions, scalability planning, and system optimisation
  • Implement best practices in testing, CI / CD, and performance monitoring
  • Collaborate closely with product, AI, and data teams to deliver end-to-end solutions
  • Drive continuous improvement and innovation across the engineering organisation

Requirements

  • 4+ years of experience as a Software Engineer building modern backend systems
  • Strong Python skills (FastAPI preferred; Flask or Django also considered)
  • Knowledge of system design, data modelling, and distributed architecture
  • Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation
  • Understanding of software engineering best practices - testing, CI / CD, clean code
  • A genuine interest in AI systems, automation, and applying engineering to real-world impact

Apply for this position