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Senior Software Engineer (Ty or Py)

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Senior Software Engineer (Ty or Py)
Senior Backend Engineer - London (On-Site)
Join a highly profitable, bootstrapped global tech start-up that 10x’d its revenue last year. We build cutting-edge, LLM-powered workflow tools to supercharge complex research and decision-making for the world’s top-tier investment and consulting firms. Our platform already powers hundreds of billions of dollars in annual investments.
We are looking for a Senior Backend Engineer to join our London team and architect the AI infrastructure, systems, and data pipelines driving our rapid expansion.
- 🚩 Location: London - fully on-site
- ✏️ Salary: £100k - £130k Plus Equity
What You’ll Tackle
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.
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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.
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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.
This is a high-leverage role where you’ll translate complex business problems into clean, high-performance automated systems. You will:
- Architect & Scale AI Infrastructure: Build backend systems supporting:
- High-throughput LLM interactions
- Vector search
- Multi-agent orchestration
- Own Data Systems
- Drive Automation: Integrate model providers, data stores, and internal APIs to create cohesive, performant data pipelines
- Shape the Culture: Influence internal infrastructure decisions and help build an evolving engineering culture; we’re scaling a team around this focus.
Who You Are


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Experience
- Strong track record of owning technical projects end-to-end (from architecture to production)
- Production coding skills in either Python or TypeScript
- Deep expertise with PostgreSQL
Mindset & Culture Fit
- Thrives in fast-moving startup environments
- Balances shipping quickly with maintaining engineering standards
- Passionate about making teams dramatically more efficient
Bonus Points
- Experience building AI-enabled workflows or automation systems
- Contribution to an internal developer platform
If this sounds like the right opportunity for you, apply and let’s talk! 😊
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