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Owen Thomas | B Corp™ is seeking a senior Python engineer to own backend services and help shape a high-scale platform used across AI-driven applications. You will work in small, high-performance teams, mainly Python, with some TypeScript exposure, while collaborating closely with Product and Design to drive end-to-end features.
The role emphasizes reliability, scalability, and long-term maintainability, with fully remote work within the UK and a London office for optional collaboration.
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.
The business has been operating successfully for over a decade and is now scaling rapidly due to accelerating demand in AI. With strong product-market fit and significant growth ahead, they’re investing heavily in senior engineering talent to shape the next phase of the platform.
You’ll join a senior, product-focused engineering team working in small high performance teams building high-scale backend systems that sit at the core of the company’s platform.
This is a backend-first role (Python ≈70%) with meaningful influence across system design, architecture, and product direction.
You’ll operate with real ownership - balancing delivery speed, scalability, and long-term maintainability - while contributing to a platform that underpins critical AI-driven applications globally.
This is a pragmatic, fast-moving Product Engineering centric environment - but with a strong emphasis on thoughtful engineering.
Exposure to AI systems, research platforms, or data-intensive products is a bonus — not required.
Structured, respectful, and focused on real-world thinking.
If you’re a senior Python engineer who enjoys building robust, high-scale systems and wants your work to contribute to more reliable, real-world AI applications - this is a genuinely meaningful opportunity.