Software Engineer (AI HealthTech) - Up to £100k + Bonus + Equity - FULLY REMOTE

Hunter Bond; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading AI HealthTech company is seeking a Remote Software Engineer who is experienced in backend systems using Python and FastAPI. You'll work in a flat, engineering-led structure that rewards autonomy and innovation, tackling meaningful technical challenges in health technology. The position offers a strong equity package and promotes a culture of collaboration and ownership. Join a high-calibre team dedicated to AI systems that have a real-world impact.

Benefits

Fully remote working across the UK

Strong equity offering and long-term growth opportunities

Flat, engineering-led structure with autonomy

Qualifications

• Experience with backend systems and AI-driven platforms is essential.
• Proficiency in Python and familiarity with FastAPI, Flask, or Django are crucial.
• Knowledge of cloud technologies and best engineering practices is important.

Responsibilities

• 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 and system optimisation.
• Implement best practices in testing, CI / CD, and performance monitoring.
• Collaborate with product, AI, and data teams.
• Drive continuous improvement across the engineering organisation.

Skills

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 and automation

Job description

Job Title

Software Engineer (AI HealthTech)

Client

AI HealthTech Scale-Up – Backed by Top‑Tier Investors, Led by World‑Class Engineers

Salary

Up to £100k + Bonus + Equity

Location

Remote (UK‑based) with an optional office

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

Skills

• 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

Sells

• Fully remote working across the UK, with an optional Holborn office
• Chance to shape core architecture in a high‑impact HealthTech environment
• Flat, engineering‑led structure with autonomy and trust
• Work on complex, meaningful technical problems that matter
• Strong equity offering and long‑term growth opportunities
• Culture built around innovation, ownership, and collaboration