Python Developer

• Location:
  
  hybrid, 3 days a week in central London (Waterloo and London Bridge)
• Degree: computer science, maths or a science subject
• UK right to work required

I'm working with a self-funded market intelligence business in London that's hiring a Backend Python Engineer to build the APIs its trading clients plug straight into. The platform spots market-moving events early, so clients from hedge funds to household-name brands can act before the news is widely reported.

It's a team of about 20 with a flat structure, and you'll sit with the co-founder three days a week. The work is backend through and through:
Python, Postgres and data pipelines, with LLMs built into the product. You'll also have the backing to lead how the whole business uses AI.

• Python: six months to two years of commercial backend experience, internships included
• APIs: designing, building and consuming them
• PostgreSQL: relational data modelling and SQL
• LLM APIs: you've built with Claude, OpenAI or similar, at work or on your own projects
• AI coding tools:
  Claude Code, Cursor or similar, part of how you have always built software
• You bring ideas on tooling and process, and you push for them
• You're keen to learn and open to feedback from senior engineers

• Amazon Web Services (AWS)
• Data pipelines: fetching external data and building tables
• React, alongside the full-stack engineers

• Trading, pricing or market data
• LLM features in production

Your first project is connecting the platform directly to client systems through APIs, starting with algorithmic trading firms and hedge funds. The wider client list runs from global banks to well-known food and drink brands.

• You'll own AI for the business, finding uses well beyond engineering and championing them across the company.
• You'll have the co-founder's ear, with the freedom to recommend and make changes to tooling and direction.
• You'll learn from two senior full-stack engineers in a small, flat team.
• The business is self-funded, breaking even and growing, with no need to raise money.

• Salary review every Q1
• No overtime culture
• Casual dress, free tea and coffee, and a free drinks fridge on Thursdays