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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.**
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## đź‘€ The Role
### **Job 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 to 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 with direct business impact.
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### Responsibilities
- 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
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Next Midniter
The successful candidate will have:
- 7+ years of backend engineering experience, including time operating at a senior or lead level.
- Experience leading or mentoring engineers in a hands-on technical leadership capacity.
- Built internal platforms, back office systems, or operational tooling.
- Professional experience integrating LLMs or AI APIs into production environments.
- A solid understanding of databases (PostgreSQL or similar).
- Strong system design instincts across scalable, reliable backend services.
- Strong proficiency in Python (or another backend language with a willingness to learn Python).
- Cloud, deployment, and production engineering fundamentals, including:
- CI/CD
- Observability
- Infrastructure in modern environments
- Strong ownership, product thinking, and a bias toward delivery.
- Ability to communicate clearly with both technical and non-technical stakeholders.


Get help with your application
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đź’° Winnings
At Midnite, we prioritise your wellbeing and growing your career. Our benefits include:
- Private health insurance with zero excess, including optical cover and optional dental.
- Income protection to protect your earnings and give you peace of mind.
- Tenure holiday policy: After three years, you receive an extra two days’ leave, increasing to 30 days annually after five years.
- Flexible working and a fully supported home office setup, allowing you to do your best work from home.
- Nursery salary sacrifice scheme to help parents save thousands each year on nursery fees.
- Salary sacrifice schemes for tech and holidays, so you can easily spread the cost of the things you want.
- Retail discounts and subscription perks across a wide range of brands.
- Quarterly team socials to connect, celebrate, and have fun together.
🌍 Diversity & Inclusion
At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including:
- Ethnic minorities
- People with disabilities
- The LGBTQIA+ community
- All genders
We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.
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Jessica, London
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