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Full Stack Engineer

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Senior Full Stack Engineer | London | Hybrid | AI Product Scale-Up | Frontend & Python
Salary: £100,000-£115,000 (+/- 10%) + equity
Location: London, hybrid working (1 day per week)
A fast-growing AI product company is looking for a Senior Full Stack Engineer with a frontend lean to join a high-calibre engineering team building a platform that's already making a real impact.
This is the sort of environment where engineers are trusted with ownership, encouraged to influence technical direction, and surrounded by people who care deeply about building thoughtful, high-quality products.
The product has strong commercial traction, thousands of active users, and ambitious growth plans. They're now at the stage where engineering quality, scalability and product thinking are just as important as shipping quickly.
It's still early enough that you'll have a significant influence over architecture, engineering standards and the direction of the product over the coming years.
What you'll be doing:
- Building end-to-end product features with a particular focus on the frontend experience.
- Creating intuitive, performant user interfaces whilst remaining comfortable contributing across the backend when needed.
- Designing APIs, backend services and data models to support product development.
- Improving performance, usability, reliability and maintainability as the platform continues to scale.
- Working closely with Product and Design to shape features from idea through to production.
- Contributing to technical direction, engineering standards and product decisions.
- Mentoring other engineers and promoting good engineering practices across the team.
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.
Tech stack:
- Frontend: Vue.js (ideally), React or another modern JavaScript framework
- Backend: Python, FastAPI
- Cloud & Infrastructure: AWS / Azure / GCP, Terraform, GitHub Actions
They're very open to engineers who've worked with adjacent frontend frameworks. If you're a strong product engineer with excellent frontend experience and are happy working across the stack, they'd love to speak with you.
What they're looking for:
- Strong commercial experience building modern web applications, with a clear frontend bias.
- Experience delivering customer-facing product features from concept through to production.
- Comfortable contributing to backend development in Python or happy picking it up.
- Engineers who care as much about user experience and product outcomes as they do about writing clean code.
- Strong communication skills and the confidence to contribute ideas and challenge thinking.
- Comfortable operating in ambiguity and making pragmatic engineering decisions.
- Experience working in startup, scale-up or product-led environments is advantageous.


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The calibre bar is high. The team is intentionally small, technically strong and highly collaborative. Everyone is expected to contribute beyond their tickets, take ownership, and help shape the future of both the product and the engineering culture.
For the right person, it's one of those opportunities that offers the best of both worlds: the pace, ownership and influence of an early-stage company, combined with a product that's already proven itself commercially.
If you're looking to make your mark on a growing AI business whilst working alongside an exceptional engineering team, I'd love to tell you more.
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