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MBN Solutions

Full Stack Engineer

London
£80k/yr
Posted about 23 hours ago
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Full Stack Product Engineer – Applied AI - Start up

London - Fully Home Based | Circa £80,000 + generous equity

The opportunity

Join an early-stage, well-funded AI company building intelligent automation products for complex enterprise workflows.

The business is entering an important growth phase, with increasing customer demand and ambitious expansion plans across Europe. It is now strengthening its engineering team to scale the product and support a growing customer base.

This is a hands-on, customer-facing role combining full-stack engineering, applied AI and product ownership.

What you’ll do

  • Own full-stack product features from discovery through to production.
  • Work directly with customers to understand problems and turn them into effective product solutions.
  • Build and improve AI-powered workflows that operate reliably in real-world environments.
  • Ship rapidly while making sensible decisions around quality, scalability and technical debt.
  • Debug complex issues across the application, AI systems and backend services.
  • Collaborate closely with the founders, engineering, product and design.
  • Contribute to the roadmap and help shape the company’s engineering culture.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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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.

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.

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Strong

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.

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Strong

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 we’re looking for

  • A strong full-stack engineer with evidence of building and shipping meaningful products.
  • Excellent product instincts and comfort working from ambiguous requirements.
  • Confidence communicating directly with customers.
  • Strong engineering fundamentals and problem-solving skills.
  • A pragmatic approach to technical decisions and business outcomes.
  • The ability to learn new languages, tools and domains quickly.
  • An interest in AI agents and modern AI-assisted development.

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Experience with AI agents, LLM systems, developer tools, automation, distributed systems or enterprise software would be valuable. Exact language experience is less important than engineering ability and learning speed.

The environment

You’ll work across a modern stack spanning Python, TypeScript, cloud infrastructure and containerised services.

Why join?

  • Build an ambitious applied AI product with genuine customer demand.
  • Join a small, experienced team with significant product ownership.
  • Work closely with the founders and influence the company’s direction.
  • Help scale a well-funded business during a pivotal stage of growth.
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“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.”

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Skills

Full Stack Engineering
Applied AI
Python
TypeScript
Product Ownership
LLM Systems
AI Agents
Distributed Systems
Cloud Infrastructure
Containerised Services
Enterprise Software
Problem Solving
Customer Communication
Technical Debt Management
Rapid Prototyping
Backend Services

Location

London, England, United Kingdom

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