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Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill/External ATS
Full Time position
Listed on 2026-03-03
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Software Engineer at Fanvue.com
Location: Greater London

Job Title: Software Engineer

Company

Description:

 - $22M Series A creator platform with 450% YoY growth.

Job Description: Join Europe’s fastest-growing creator monetization platform as a high-potential engineer. You will build AI-native tools for 250,000+ creators, leveraging Type Script and Node.js to ship features like automated messaging and content personalization. Working alongside senior mentors, you’ll use AI-assisted development tools to deliver high-impact code to 17 million monthly active users.

Location: Remote (EU/UK preferred)

Why this role is remarkable:
  • Join the 2025 Stevie Awards' Fastest Growing Company in Europe, backed by a recent $22M Series A led by Inner Circle.
  • Work at the frontier of AI-native product development, building features that give creators "superpowers" through automation and LLM integration.
  • High-agency environment where you own greenfield projects end-to-end and see your code impact millions of users within your first weeks.
What you will do:
  • Build and scale AI-powered features including automated chat, content generation, and moderation using a Type Script/Node.js stack.
  • Accelerate development cycles by mastering AI-assisted tools like Cursor, Claude Code, and Git Hub Copilot to ship high-quality code faster.
  • Collaborate directly with product and design teams to iterate on features based on real-time feedback from a massive creator base.
The ideal candidate:
  • Possesses 1-4 years of professional experience with strong fundamentals in Type Script/Node.js and a track record of shipping functional products.
  • Demonstrates "high agency" through impressive side projects, open-source contributions, or rapid career progression that signals exceptional intelligence.
  • Enthusiastic about AI-assisted development and eager to experiment with LLMs, embeddings, and vector databases to solve complex engineering challenges.
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