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Software Engineer

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This team is building an AI Operating System that autonomously runs entire companies - every revenue motion, every product decision, every operational function - with compounding intelligence across all of them.
Truly consequential AI requires context no outside vendor can access. Real decisions need CRM records, support tickets, customer communications, contracts, finance data, product telemetry, market signals, audit logs – dozens of dimensions, deeply connected.
They’ve solved that structurally. Instead of selling software from the outside, they acquire B2B software companies and embed the system directly inside them. That gives the AI full access to live data, real feedback loops, and the organisational depth needed to encode business intuition over time. Every acquisition deepens the intelligence. Every agent compounds it.
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.
The work spans enterprise data ingestion, pipeline reliability, model orchestration, agent execution, and the practical architecture trade-offs around latency, cost, and performance.
The founders have a strong track record, including a prior multi-billion exit. The business is already generating meaningful revenue across its portfolio.
What you’ll do
- Build core backend and product systems for an internal AI operating platform
- Design APIs, data models, integrations, and workflows across messy company systems
- Turn ambiguous business problems into clear technical components that can be automated
- Work across Ruby, Python, Rust, TypeScript, and React depending on the problem
- Ship production features that affect revenue, retention, and operational efficiency
- Improve reliability, scalability, and developer speed as the platform expands
- Collaborate closely with product, commercial, and leadership teams on what gets built


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What you’ll need
- Strong software engineering fundamentals and a track record of shipping real systems
- Experience in a high-bar startup, scale-up, or top engineering environment
- Strength in backend engineering; full-stack ability is useful
- Language agnostic mindset — use the best tool for the job
- Comfort with ambiguity, fast iteration, and making sensible technical trade-offs
- Product sense and the ability to think beyond tickets
- Willingness to work mainly from the London office
Optional Bonus
- Experience with AI products, LLM workflows, or agent-style systems
- Exposure to data-heavy platforms, ontology layers, or workflow orchestration
Shortlisted candidates will be contacted within 48 hours.
“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
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