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Senior Python Backend Engineer (AI/LLMs) - Permanent Position

Nicoll Curtin TechnologyUnited Kingdom🇬🇧United KingdomPosted 3 Jul 2026

Why This Role Stands Out

You'll thrive in this role if you're a seasoned Python Backend Engineer with a passion for AI and LLMs, eager to build innovative systems that translate cutting-edge AI into reliable product features, with the flexibility of a remote, hybrid work environment and competitive compensation. This is an exceptional opportunity to make a significant impact within a reputable tech-led business, contributing to the development of a groundbreaking AI product while advancing your skills in a challenging and rewarding backend engineering capacity.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Senior Python Backend Engineer (AI/LLMs)
Remote (United Kingdom) | Permanent | Flexible compensation (DOE), performance based bonus + equity

We're working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making.

This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage.

The product focuses on:

  • Long-running workflows
  • Persistent context
  • Multi-step task execution
  • Integration with external systems

The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic.

The Role

This role sits in the Back End layer that connects models to the product.

The focus is on designing and operating systems that enable:

  • AI workflows to run end-to-end
  • APIs to serve AI features consistently
  • Systems to perform reliably under real usage conditions

You'll be working on:

  • Inference pipelines and orchestration layers
  • Backend services for AI-driven workflows
  • Performance considerations such as latency, throughput, batching and caching
  • Monitoring, logging and production reliability

What They Care About

The hiring bar is centred around real production experience:

  • Whether you have owned Back End systems end-to-end in production
  • Your experience working with AI systems beyond simple integration
  • Your exposure to practical challenges such as:
  • latency and throughput optimisation
  • monitoring and observability
  • debugging and incident handling
  • scaling systems in production environments

Tech Environment

  • Python (primary Back End language)
  • Node.js
  • SQL/NoSQL databases
  • LLM ecosystem (OpenAI, Anthropic, etc.)
  • Docker and Kubernetes
  • AWS, Azure or GCP is fine

Compensation

Flexible compensation assessed based on the candidates impact, ownership and ability to deliver in production environments, alongside equity and performance based bonus.

Skills

Docker
GCP
Node.js
SQL
AWS
Azure
Kubernetes
LLM
Python

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