Burton Recruitment Limited
Full Stack Engineer

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Full Stack Engineer, AI Systems
Location: United Kingdom | Hybrid / Flexible Highly competitive package + equity
We are working with a well-funded AI startup building its core technical team from the ground up, and are looking for an exceptional Full Stack Engineer to build the product layer of a new generation of AI-powered applications.
This is not a conventional web development role or a position focused on adding a chatbot to an existing product.
You will build production-grade systems in which AI can understand objectives, interact with external tools, retain context and reliably complete complex workflows across multiple steps.
You’ll join at an unusually early stage, work alongside the founding technical team and have a genuine voice in how the product, architecture and engineering standards evolve.
Rather than owning only one part of the stack, you will take features from initial idea through frontend, backend and AI integration into production.
The Opportunity
You will sit at the intersection of product engineering, backend systems, frontend development and applied AI.
Your remit will include:
- Building end-to-end product features across frontend, backend and AI integrations
- Designing agent workflows involving planning, tool use, memory, failure handling and recovery
- Integrating large language models and external services into reliable production systems
- Building user experiences for real-time AI interactions
- Implementing streaming responses, partial results, loading states, retries and fallbacks
- Developing APIs and backend services that support long-running and multi-step workflows
- Designing systems that maintain context across tools, tasks and user sessions
- Improving latency, responsiveness and overall application performance
- Building monitoring, tracing and observability into AI-powered workflows
- Investigating real-world failure modes and continuously improving system reliability
- Working closely with machine learning, backend, product and design teams
- Making pragmatic technical decisions and shipping improvements quickly
- Establishing reusable patterns for integrating models, memory and external tools
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.
You may work with technologies including:
- Next.js
- React
- TypeScript
- Node.js
- Python
alongside:
- OpenAI
- Anthropic
- Open-source LLMs
- SQL
- NoSQL
- Docker
- Kubernetes
What We’re Looking For
We’re interested in people who have:
- Strong professional experience across both frontend and backend engineering
- Built and shipped complete product features into production
- Strong knowledge of modern frontend application development
- Solid experience designing backend services, APIs and data integrations
- Experience working with LLMs, RAG systems, agents or AI-powered applications
- A good understanding of system design and scalable application architecture
- Experience building responsive or real-time user experiences
- An understanding of reliability, observability, latency and production debugging
- The ability to handle ambiguity and make sensible engineering trade-offs
- The confidence to take ownership of features from idea through to production
- A high level of curiosity, initiative and personal responsibility
- Comfort working in a small, fast-moving and highly collaborative team


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience with sophisticated agent systems is valuable, but we are also interested in exceptional full stack engineers who have built complex production products and can quickly develop deeper expertise in AI-native application development.
Why Join?
You would be joining the founding technical team, not a large and established engineering department. That means the features, abstractions and technical decisions you make now can become the foundations upon which the product is built for years.
You’ll have significant technical autonomy, direct exposure to leadership, equity participation and the opportunity to see your work translate directly into a user-facing AI product intended to operate at global scale.
The ambition is to build AI experiences that move beyond simple chat and become proactive, persistent and dependable—helping users complete real tasks across tools and workflows with dramatically less effort.
For someone who enjoys working across the entire product, solving difficult technical problems and having genuine influence over what is built, this is an unusually strong opportunity.
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