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Backend Engineer (AI Native)

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Summary

A backend engineer in London who builds and scales the foundational infrastructure of an AI-native enterprise platform: designing distributed backend systems, handling high-volume LLM workloads, and owning architecture, performance, and observability using PostgreSQL, queueing systems, and large-scale batch processing.

Overview

In this Backend Engineer role you will help build and scale the foundational infrastructure of an AI-native enterprise platform. You will own critical systems that enable AI workloads to run reliably at enterprise scale, collaborating with a small, high‑performing team. The role offers ownership of architecture, performance, and observability while shaping technology used by some of the world’s largest businesses. You’ll tackle substantial scale challenges and contribute to a platform that aims to simplify IT complexity for enterprises.

Responsibilities
  • Design and develop scalable backend systems to support enterprise-scale workloads
  • Create shared abstractions, tooling, and infrastructure to accelerate product engineering
  • Handle high-volume LLM workloads, real-time processing, and external provider reliability
  • Develop resilient distributed systems and optimize databases for large-scale processing
  • Own architecture, performance, observability, authentication, and job orchestration decisions
  • Influence engineering standards and improve developer experience from the outset
Key requirements
  • 3+ years of backend engineering experience with exposure to platform engineering or infrastructure
  • Strong system design skills and production-grade systems experience
  • Experience with distributed systems, PostgreSQL, queueing systems, and large-scale batch processing
  • Understanding of performance optimization, benchmarking, and scaling under demand
  • Exposure to LLM infrastructure or AI-native applications
  • Ability to own problems across APIs, infrastructure, and data flows
  • Pragmatic engineering mindset with confidence to decide and challenge approaches
  • ownership and accountability
  • problem-solving
  • ability to thrive in a fast-moving environment
  • distributed systems
  • PostgreSQL
  • queueing systems

Skills

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See also

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