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Filipino Contractors

AI Developer / 4 days ago

London
Posted 1 day ago
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About Aphex

We're the construction execution platform replacing outdated spreadsheets with multiplayer tools that delivery teams love. Major contractors like Acciona, CPB Contractors, John Holland, and McConnell Dowell use Aphex to deliver projects from £50 million to multi-billion pound mega projects.

We're market-leading in Australia and the UK, supporting teams building the roads, rail, tunnels, and hospitals that millions use every day. We're leaning further into AI as a core part of where the product goes next, and we've started building the foundational pieces.

Construction has been underserved by technology for decades, and it's now at real risk of being left behind by AI. We don't intend to let that happen. Aphex builds the orchestration layer the world's major construction projects run on, and AI is central to where we take it next. This role is for someone who wants to be at the heart of that, not just shipping AI features, but helping shape how an entire industry puts AI to work.

You'll start hands-on, building and shipping our AI features in the real product. From there it grows. As you learn what works, you'll help set the standard for how we build, evaluate and monitor AI across Aphex. Practical first, then broadening into the bigger picture.

What You'll Do

Build and implement

  • Translate briefs into working AI features, selecting the right model and implementation approach for the use case
  • Test inputs and outputs before shipping
  • Ship AI features into the real product

Evaluation and reliability

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

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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.

  • Monitor and evaluate AI feature performance in production
  • Dig into real inputs and outputs to find where prompts or implementations can be better
  • Keep every AI feature across the platform accurate and reliable over time
  • Build the evaluation coverage that catches regressions before users do

Improve and iterate

  • Refine prompts and implementations based on how features actually behave in the wild
  • Research evaluation and implementation techniques, and bring recommendations, not just problems
  • Decide what good looks like and measure it systematically

Essential

About You

  • You can explain technical concepts, tradeoffs, and constraints clearly in close 1-on-1 work
  • You take ownership of what you build and keep it working over time, rather than shipping and moving on
  • Strong written and verbal communication for async, cross-timezone collaboration
  • Full-stack TypeScript/React (the role may grow to include implementation over time)

Highly Valued

  • Hands-on experience building LLM-based features and evaluating them in production: LLM APIs, prompt engineering, handling AI outputs, iterating on real results
  • Shipped AI features to real users and handled the monitoring, debugging, and iteration that follows
  • Familiarity with LLM evaluation frameworks and tooling such as LangSmith or equivalent
  • Familiarity with RAG, vector databases, or similar techniques (or the fundamentals to pick them up fast)
  • A habit of staying current with AI and judging when a new technique is actually worth adopting

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Not Looking For

  • Build-and-forget engineers who ship AI features and never check whether they're working
  • People who want to work in isolation rather than in close daily partnership
  • Candidates targeting senior architect, pure research, or team-lead roles. This is a hands-on, mid-level role

Why This Matters

The people using Aphex are time-poor. They're planners, engineers, and project managers running billion-pound projects, and every minute our AI saves them is time back in their day. The AI we're building needs to be accurate and reliable, every day, on real project data. Building AI features is one thing. Keeping them genuinely working once real users depend on them is what turns a valuable feature into something construction teams rely on every day.

What We Offer

Work & Culture

  • Remote-first role with a thriving Philippines-based engineering team
  • Annual team offsite, all expenses paid, to connect in person
  • Online socials with an Airwallex card for team lunches and activities

Time Off & Wellbeing

  • 20 days PTO + Philippine public holidays (all paid)
  • 5 days sick leave (plus discretionary extra as needed, we're humans, not machines)
  • Comprehensive private healthcare with family plan option
  • ₱2,000 monthly rice allowance

Interview & Application Process

A few stages to make sure it's a great fit on both sides: a brief one-way video screening on Willo (a few minutes), a coding challenge, then two Google Meet conversations with the team. We'll guide you through each step.

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Skills

TypeScript
React
LLM APIs
Prompt Engineering
RAG
Vector Databases
LangSmith
AI Evaluation
Full-stack Development
Model Selection
Software Monitoring
Debugging
AI Implementation

Location

London, England, United Kingdom

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