McGregor Boyall
Python Backend Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Backend Engineer (AI) | Python | Node.js | Kubernetes | LLMs
Fully Remote
Build the backend systems powering the next generation of AI-native applications.
We're partnering with an exciting AI startup on a mission to redefine how people interact with everyday productivity tools. Rather than adding AI as an afterthought, they're building an intelligent assistant that helps users organise work, complete tasks, and automate complex workflows with minimal prompting.
They're now looking for a Python Backend Engineer - Technical Lead to build the infrastructure that powers every AI interaction across their platform.
The Role
You'll own the backend services sitting between foundation models and end users, designing highly scalable, low-latency systems that deliver fast, reliable AI experiences.
This is a hands-on engineering role where you'll work on inference pipelines, orchestration, distributed systems, and production infrastructure, ensuring AI features perform reliably at scale.
Reasons to use Rodeo
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.
It 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.
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.
What You'll Be Doing
- Design and build backend services supporting AI-powered features
- Develop inference pipelines and orchestration layers around LLMs
- Optimise latency, throughput, caching, batching and streaming
- Own production monitoring, logging, alerting and incident response
- Improve system reliability, scalability and observability
- Collaborate closely with product, frontend and ML engineers to deliver production-ready AI solutions
What We're Looking For
- Strong commercial backend engineering experience
- Python and/or Node.js expertise
- Experience building high-throughput, low-latency distributed systems
- Knowledge of Kubernetes and Docker
- Experience with SQL and NoSQL databases
- Familiarity with modern AI technologies including LLMs, embeddings or AI inference pipelines is highly desirable
- Comfortable debugging complex production systems and driving continuous improvement
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Tech Stack
- Python
- Node.js
- PyTorch
- OpenAI, Anthropic & open-source LLMs
- SQL & NoSQL
- Kubernetes
- Docker
Why Join?
You'll become part of a small, exceptionally talented engineering team building AI products from the ground up. This is an opportunity to have genuine ownership, influence technical direction, and solve challenging engineering problems at the intersection of distributed systems and artificial intelligence.
If you're passionate about building reliable, production-grade AI infrastructure and want to work on technology used by millions of people, we'd love to hear from you.
Apply today to learn more about this opportunity.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills