Senior & Lead Product Engineer (Python/Django/FastAPI) - AI Infrastructure & Healthcare

owen thomas | b corp™ • United Kingdom

Remote

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AI Summary

Join a high-impact, remote-first team building scalable backend systems for AI infrastructure in research and healthcare. Design and own Python-based services, optimize performance, and shape product direction with ownership over system design and architecture. Requires 4–6+ years of production-grade Python experience and a product mindset.

Key Highlights

Senior engineering role with ownership over backend system design, architecture, and product direction

Focus on Python (Django/FastAPI), AWS, and scalable API development for AI infrastructure

Remote-first opportunity with strong compensation (£80–130k base + bonus + equity) and rapid team scaling

Key Responsibilities

Design and own scalable backend services using Python (Django/FastAPI) for AI infrastructure

Build and optimize high-performance APIs and workflows supporting global usage in research and healthcare

Collaborate with Product and Design teams to shape end-to-end features while maintaining reliability and performance

Contribute to system architecture, engineering standards, and long-term maintainability as the team scales

Work closely with cross-functional teams to ensure real-world impact on AI-driven applications

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Technical Skills Required

Python Django Amazon Web Services

Benefits & Perks

£80–130k base salary + bonus + equity

Fully remote (UK-based)

Strong benefits package

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Nice to Have

Exposure to AI systems, research platforms, or data-intensive products

Experience with TypeScript/Vue.js

Startup or scale-up environment background

Job Description

The Company - AI systems are only as reliable as the data and feedback loops behind them.

We’re partnering with a profitable, globally-used technology company building infrastructure that helps global organisations develop more reliable, trustworthy AI systems. Their platform supports teams working across research, healthcare, and enterprise environments - where accuracy, integrity, and real-world performance genuinely matter.

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