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Oliver Bernard

Founding Engineer

London
Posted about 13 hours ago
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Founding Engineer | London, Office-First | Competitive Salary + Founding Equity

An early-stage AI company is building a technology platform for safety-critical industries including inspection, compliance, facilities, and field services.

The business acquires established operators, embeds directly into their workflows, and replaces fragmented systems and manual processes with software and AI.

You would join as technical hire #2, working directly with the CTO to build the core platform, shape the architecture, and establish the engineering function. Everything shipped goes directly into live operational environments, with a clear impact on efficiency, revenue, and margin.

The role

You will own problems from discovery through to production, building both the core platform and the systems deployed across acquired businesses.

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.

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.

Responsibilities

  • Design and build the core AI and software platform
  • Ship production systems across document workflows, scheduling, communications, and operations
  • Build AI agents, computer vision systems, data products, and hardware integrations where relevant
  • Work directly with acquired businesses to identify and solve high-value operational problems
  • Make early architecture, infrastructure, and tooling decisions
  • Help hire and shape the engineering team as the company grows

Requirements

  • Strong software engineering fundamentals across backend, frontend, or infrastructure
  • Experience owning and shipping production systems end-to-end
  • Comfortable working across an evolving stack and solving unfamiliar problems
  • Strong product judgement and ability to work with non-technical stakeholders
  • Comfortable operating in an early-stage environment with limited structure
  • Willing to travel across the UK during transformation phases

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Nice to have

  • Production experience with LLMs, agents, computer vision, or applied ML
  • GCP or broader cloud infrastructure experience
  • Previous startup, consulting, or forward-deployed engineering experience
  • Experience modernising legacy systems

Location

London, office-first, typically four days per week. Travel to acquired businesses across the UK for two to three days per week during active transformation projects.

Package

Competitive base salary, founding equity, and AI uplift bonuses linked to platform growth.

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Skills

Software Engineering
AI
Computer Vision
Data Products
Cloud Infrastructure
Production Systems
Problem Solving
Stakeholder Management
Architecture
Infrastructure
Tooling Decisions
Team Building
Legacy Systems Modernization
LLMs
Applied ML
Consulting

Location

London, England, United Kingdom

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