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fanvue

Software Engineer (Intern)

Posted 16 Days Ago
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Hybrid
London, Greater London, England, GBR
Internship
Hybrid
London, Greater London, England, GBR
Internship
Software Engineering Intern building and shipping AI-powered product features across a TypeScript, Node.js, and potentially Go stack. Responsibilities include developing automated chat, content generation, personalization, and moderation features; experimenting with LLMs, embeddings, and vector databases; using AI coding assistants; participating in code reviews and architecture discussions; collaborating with product and design; and presenting completed work. The role includes mentorship and requires strong engineering fundamentals, initiative, adaptability, and a willingness to iterate quickly.
The summary above was generated by AI
🎯 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

HQ

fanvue London, England Office

London, United Kingdom

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