Software Engineer (Intern)

Fanvue; Greater London; Hybrid; GBP 20,000 - 28,000; Part time

Job summary

Fanvue in London seeks a Software Engineering Intern. This short-term placement targets students or recent graduates who show outstanding motivation and work ethic.

You'll tackle real engineering problems with mentoring from senior engineers, contributing from day one to AI-powered features and tooling.

You'll work on a TS/Node.js/Go stack, collaborate with product and design, participate in code reviews, and present your work at the end of the placement.

Qualifications

• Strong fundamentals in data structures, algorithms, and system design.
• Proficiency in TypeScript/JavaScript; Node.js/React/Next.js a plus.
• Currently studying toward or recently completed CS or related degree.
• Able to learn quickly and adopt AI tooling.

Responsibilities

• Own and deliver features end-to-end on TS/Node/Go stack with mentor support.
• Contribute to real shipped product work, not sandbox projects.
• Build AI-powered features for creators using AI tools.
• Collaborate with product, design, and senior engineers.
• Present your work at end of placement.

Skills

Intelligence

High agency

Software fundamentals

TS/JS proficiency

Education

Computer Science degree (in progress/recently completed)

Tools

Node.js

React

Next.js

AI coding assistants

Job description

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.

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

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

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

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