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Backend Engineer - AI Native

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: LinuxRecruit
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, DevOps, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

The next generation of enterprise technology is being built right now. This is your opportunity to help engineer it.

The world's biggest businesses run on some of the world's most complex technology. Decades of legacy infrastructure, disconnected systems and technical debt have created enormous barriers to innovation.

One ambitious AI company is setting out to change that entirely.

Building an AI native operating system designed for the world's largest enterprises, this company is reimagining how organisations manage technology, modernise infrastructure and unlock the full potential of artificial intelligence.

And they're not just talking about the future. They're building it.

With $60M in Series A funding, backing from some of the industry's leading investors and major global enterprises already adopting their technology, this is a business with serious momentum, exceptional ambition and the financial backing to deliver on its vision. Now, as they enter their next phase of growth, they're looking for a talented Backend Engineer to help build the technical foundations behind it all.

Not your average Backend Engineering role:

Big ambitions. Complex engineering. Real ownership.

This isn't another backend engineering position where you'll be maintaining someone else's infrastructure.

You’ll be joining a small, exceptionally talented team responsible for building the systems that enable an AI native platform to operate at enormous scale. We're talking about technology capable of processing tens of millions of lines of code per customer, managing substantial LLM workloads and delivering the performance, reliability and security demanded by some of the world's largest organisations.

The engineering challenges are anything but ordinary.

From designing distributed systems and optimising large scale processing to developing the infrastructure behind sophisticated AI applications, you'll be solving problems that sit at the intersection of backend engineering, infrastructure and artificial intelligence. And because the team is still growing, your influence will extend far beyond the code you write.

You’ll have a genuine voice in architectural decisions, the freedom to challenge existing approaches and the opportunity to help define how the platform evolves.

Where you'll make your mark:

Your work will directly influence the company's ability to innovate, scale and deliver its technology to enterprise customers around the world.

You’ll be responsible for:
  • Engineering for serious scale: Building robust, high performance backend infrastructure capable of supporting demanding enterprise workloads.
  • Powering AI at enterprise level: Tackling the challenges of high volume LLM processing, token throughput, real time operations and AI provider reliability.
  • Creating the foundations for faster innovation: Developing shared services, abstractions and internal tools that enable engineering teams to move quickly.
  • Solving complex distributed systems challenges: Working across databases, job orchestration, asynchronous processing and infrastructure reliability.
  • Shaping technical architecture: Making important decisions around scalability, observability, authentication, system performance and resilience.
  • Raising the engineering bar: Helping establish strong engineering practices and building technology designed to perform from day one.
Think you've got what it takes?

They're looking for engineers who are naturally curious, technically ambitious and genuinely excited by the prospect of building something from the ground up.

People who don't just identify problems, but take ownership of solving them.

Ideally, you'll have:
  • 3+ years of experience in backend engineering, with exposure to infrastructure or platform engineering.
  • Strong…
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