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# Remote Lead Backend Engineer - AI

- **Company:** Midnite
- **Location:** Luton, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Continuous Integration, Python (Programming Language), PostgreSQL, Application Enhancement Tool, Large Language Models, Backend, Build Management, Production Code
- **Published:** June 25, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-lead-backend-engineer-ai-luton-bedfordshire/2835127085-2/

## About the Role

* Brings 7+ years of backend engineering experience, including time operating at a senior or lead level.
 * Has experience leading or mentoring engineers in a hands-on technical leadership capacity.
 * Has built internal platforms, back office systems, or operational tooling.
 * Has professional experience integrating LLMs or AI APIs into production environments.
 * Has a solid understanding of databases (PostgreSQL or similar).
 * Has strong system design instincts across scalable, reliable backend services.
 * Has a strong proficiency in Python (or another backend language with willingness to learn Python).
 * Has cloud, deployment, and production engineering fundamentals, including CI/CD, observability, and infrastructure in modern environments.
 * Brings strong ownership, product thinking, and a bias toward delivery.
 * Communicates clearly with both technical and non-technical stakeholders.

## Description

This role will play a central part in how Midnite scales internal operations and defines the practical use of AI across engineering and the wider business. You'll lead the build of a greenfield back office platform while helping shape how AI is used to improve workflows, decision-making, and efficiency across the company. You'll combine technical leadership with hands-on engineering, guiding a small team while building production systems that have direct business impact.

You will:

 * Design and build scalable backend systems for Midnite's internal back office platform.
 * Lead and mentor a small team of engineers while remaining hands-on in delivery.
 * Write production code and use AI-assisted development approaches to accelerate execution.
 * Productionise and deploy AI-powered tools for engineering and business use cases.
 * Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value.
 * Collaborate closely with Product to shape requirements, technical solutions, and delivery plans.
 * Work with internal stakeholders to understand operational pain points and turn them into effective tooling.
 * Define architecture, engineering standards, and best practices for a new team and platform.


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