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LITTA APP LIMITED

Full Stack Product Engineer (Mid-Senior)

London
£65k/yr
Posted 3 months ago
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Job Description

Job title: Full Stack Product Engineer (Mid-Senior)

Reporting to: Engineering Manager

Working hours: 40 hours per week (Monday- Friday) 08:00 - 17:00

Compensation: Up to £65,000 depending on experience

Location: Hybrid (remote-first with a minimum of two days per week at our Canary Wharf co-working space). Candidates must be based within a one-hour commute.

About Litta

Litta is an innovative and dynamic fast-growing VC-funded Waste-Tech Business that is digitally disrupting the UK’s Bulky Waste Collection Sector. Our Mission is to become the UK’s leading Bulky Waste Removal Service, using technology to ethically and sustainably collect our customers' waste using approved local waste collection partners.

We are Mac native and use Google Workspace products.

Overview

Litta is building operational infrastructure for waste collection at scale. This is not a conventional feature-delivery role. A large part of the work is improving the systems behind operations. The focus is on systems that reduce operational overhead, improve reliability, and make the business easier to run as volume grows.

We are hiring a Full Stack Engineer who is comfortable operating across product engineering, internal tooling, and automation. You will be expected to ship end-to-end features, integrate external systems, and use AI-assisted tooling to accelerate delivery and reduce manual work.

About You

We are a small, fast-moving team. Processes are lightweight and not everything will be fully defined or documented. You need to be comfortable operating in that environment.

You are product-minded and able to make sensible decisions without heavy oversight. There is no dedicated design function and few layers of management, so you will be expected to translate rough ideas into working solutions.

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.

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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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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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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.

You take ownership, get up to speed quickly across multiple codebases, and are willing to work across whatever is needed to move things forward.

What You’ll Do

  • Build and maintain frontend applications using Vue, React, and TypeScript.
  • Develop and deploy backend services using Node.js, Firebase, and Google Cloud.
  • Design and evolve APIs, data models, and system boundaries.
  • Integrate third-party systems such as Stripe, HubSpot, Airtable, and Slack.
  • Build and maintain workflow automations using n8n and custom scripts.
  • Work with webhooks, queues, and asynchronous workflows as core primitives.
  • Replace manual operational processes with reliable, observable systems.
  • Own features end-to-end, from schema and integrations through to UI and deployment.

AI-Augmented Engineering

We use LLMs and modern AI tooling to accelerate development, automate workflows, and enhance product capabilities. We identify areas where AI meaningfully reduces cost or improves user experience and implement solutions.

AI is expected to be used deliberately and appropriately. You should understand the code you write, apply sound engineering practices, and not rely on AI as a substitute for technical judgement.

All code, including generated output, is subject to full code review, and we are actively working towards increasing automated test coverage across the codebase.

You will have access to shared team AI tooling, including a Claude Team subscription, and are expected to incorporate these tools effectively into your workflow.

Engineering Quality and Delivery

This is not a ticket-driven role. You are expected to take ownership of problems end-to-end rather than just implementing predefined tasks.

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  • Write maintainable, production-grade TypeScript across the stack.
  • Ship continuously via CI/CD using tools such as GitHub Actions.
  • Monitor, debug, and improve system performance and reliability.

Requirements

  • 5 or more years building production web applications
  • Strong TypeScript/JavaScript across frontend and backend
  • Experience with Vue or similar frameworks, Node.js, and cloud or serverless systems
  • Experience integrating third-party APIs and working with webhooks
  • Comfortable owning systems end-to-end
  • Familiar with modern AI tooling in a development workflow

Desirable

  • Experience with Firebase or Google Cloud
  • Experience with workflow automation tools such as n8n
  • Experience shipping mobile apps using React Native (Expo) or similar
  • Background in startups or high-velocity teams
  • Strong product intuition and a bias for simplification

Hiring Process

Step 1: Intro Call (30 mins)

High-level discussion on experience, expectations, and context

Step 2: Take-home exercise (2 to 3 hours)

A realistic problem aligned with our stack to evaluate how you structure and ship work

Step 3: Technical conversation (60 mins)

High level technical questions and discuss any systems you have built, focusing on decisions, trade-offs, and ownership. You will be asked how you approach real-world problems such as structuring applications, modelling data, designing APIs, and handling failure modes and edge cases, rather than focusing on recalling syntax or writing code from memory.

Step 4: Final conversation (30 mins)

Alignment, questions, and offer discussion

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Skills

TypeScript
JavaScript
Vue
React
Node.js
Firebase
Google Cloud
API Design
Workflow Automation
n8n
CI/CD
GitHub Actions
System Architecture
Full Stack Development
AI-assisted Tooling

Location

Greater London, England, United Kingdom

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