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Software Engineer (Intern)

Fanvue.comHybrid (London), United KingdomFull-timeSalary not listed · Typical pay in United KingdomPosted Nov 4, 2026

Fanvue.com is hiring for the position of Software Engineer (Intern) in Hybrid (London), United Kingdom. The listing describes it as a full-time, internship position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Fanvue.com is hiring for the position of Software Engineer (Intern) in Hybrid (London), United Kingdom. The listing describes it as a full-time, internship position with hybrid working.

The advert mentions JavaScript, TypeScript, Node.js, React and Next.js among the skills and tools for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 4, 2026.

Employer
Fanvue.com
Location
Hybrid (London), United Kingdom
Work mode
hybrid
Job type
Full-time
Level (from the title)
internship
Pay
Not stated by the employer
Found
Nov 4, 2026 on Arbeitnow
Employer text
514 words, about 2 min to read
Skills named in the advert
JavaScriptTypeScriptNode.jsReactNext.js
Before you apply
  • Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (JavaScript, TypeScript, Node.js and React) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 2 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 5, 2026
Pay benchmark
Average wage, United Kingdom
GBP 46,511 average / year

Source: OECD Average annual wages, 2025

Cost of living · United Kingdom
100.5 vs New York = 100

UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
  • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
  • Global Talent visa: Endorsement as a leader or potential leader in a listed field

Official routes: UK Visas and Immigration (GOV.UK)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01🎯 The Role

We're hiring a Software Engineering Intern! This is a short term placement for students or recent graduates who demonstrate outstanding intelligence, motivation, and work ethic. The kind of person who raises the bar just by being in the room, even this early in their career.

You'll tackle real engineering problems, not busywork. Problems where creativity, first-principles thinking, and relentless iteration matter more than years of experience. You'll work alongside senior engineers who will mentor and challenge you, while contributing meaningfully from day one, with a dedicated engineering mentor for the length of the placement.

AI is central to how we build. You'll use AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) daily to accelerate your work, and you'll contribute to AI-powered product features that differentiate Fanvue in the market.

02🚀 What You'll Do

  • Own and deliver well-scoped features end-to-end across our TypeScript/Node.js/Go (nice to have) stack, with mentor support

  • Contribute to real, shipped product work, not a side project or sandbox

  • Build AI-powered features for creators (automated chat, content generation, personalization, moderation)

  • Leverage AI coding tools to ship faster. We expect you to be fluent in AI-assisted development, or fast to become so

  • Experiment with LLMs, embeddings, and vector databases as part of product development

  • Ship fast, iterate based on feedback, and learn from production

  • Collaborate closely with product, design, and senior engineers

  • Sit in on architecture discussions and technical decisions to learn how we think, not just how we code

  • Participate in code reviews and absorb our engineering best practices

  • Present your work at the end of the placement

03👀 Who You Are

  • Exceptionally intelligent and motivated: you learn fast and apply knowledge immediately

  • High agency: you don't wait to be told what to do; you identify problems and solve them

  • Solid fundamentals in software engineering (data structures, algorithms, basic system design) from your degree, projects, or self-study

  • Proficient in TypeScript/JavaScript, or a strong enough general programming foundation to get there fast; experience with Node.js, React, or Next.js is a plus

  • Comfortable using AI coding assistants (Cursor, Copilot, Claude) or eager to become fluent

  • Curious about LLMs, prompt engineering, and AI product development

  • Genuinely excited by hard problems: you'd rather work on something challenging than something easy

  • Relentless work ethic, you ship, you iterate, you improve

  • Humble and coachable, you seek feedback and act on it

  • Currently studying towards, or recently completed, a Computer Science or related degree (or equivalent via personal projects, open source, bootcamps, etc.), no professional experience required

04✨ You'll Thrive Here If

  • You want to prove yourself fast and are hungry for real responsibility, not a token project

  • You prefer ambiguity and ownership over well-defined tasks

  • You're energized by working alongside exceptional people

  • You care about impact, not titles

  • You're excited about building AI-native products

05⚠️ You'll Struggle Here If

  • You need detailed specifications before starting work

  • You prefer predictable, routine work

  • You're not comfortable with fast feedback and iteration

  • You're skeptical about AI tools or resistant to using them

  • You're looking for a purely observational or shadowing-style internship

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