Lead Backend Engineer - AI
Why Midnite?
Midnite is a next-generation sports betting and gaming platform built for a new wave of players.
We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today.
Over 400,000 players have already made the move, and we’re only just getting started.
We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading.
Not your grandad’s bookie.
The Role
Title: Lead Backend Engineer (AI & Back Office)
Team: AI & Back Office
Location: Remote UK
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.