Software Engineering Intern

36 Labs; Greater London; Híbrido; GBP 70.000 - 120.000; Jornada completa

Descripción de la vacante

36 Labs in London seeks a hands-on AI engineer to accelerate how the company uses AI across engineering, research, content and operations.

You will build tools and agents, run experiments with new models, and ship production code alongside engineers to understand scalable AI systems.

Proficiency in Python or TypeScript and a practical, experiments-driven mindset are essential for turning ideas into real improvements.

Formación

• Strong fundamentals in Python and/or TypeScript.
• Experience building AI-powered tools or agents.
• Curious, hands-on, and able to ship code quickly.

Responsabilidades

• Find where AI can speed up work across teams and build the tools and workflows to do it.
• Get the team using AI tools by documenting and improving day-to-day AI workflows.
• Run experiments with new models and agent setups and bring successful approaches back to the team.
• Ship production code alongside engineers and learn from their processes.

Conocimientos

Python

TypeScript

AI models

Experimentation

Descripción del empleo

36 Labs is a seed-stage startup that started out of the UCL Machine Learning lab. We bootstrapped to 10 people, and now we're on the next leg of growth.

AI can generate almost any form of media, but it still can't judge what captures human attention. AI-generated content on social platforms is growing fast, every creative workflow will be agent-assisted or fully agentic. Our work is improving how models reason about creative decisions, learning from how audiences respond to content.

The role

Your main focus is accelerating how we use AI across every part of the business: engineering, research, content and operations. You'll find where AI can take work off people's plates, build the tools and agents to do it, and get the team using them. You'll also ship production code alongside our engineers, so you get real exposure to how we build.

AI writes a lot of what we ship, so the bottleneck isn't typing, it's judgment and taste, and we'll help you build both fast. You'll get a large token budget to run your own experiments.

What you'll be doing

• Finding where AI can speed up work across engineering, research, content and operations, and building the tools, agents and workflows to do it
• Getting the team using them: setting up, documenting and improving the AI tools we rely on day to day
• Running experiments with new models, tools and agent setups, and bringing what works back into how we work
• Shipping production code alongside our engineers, with someone close by to help you level up

What we're looking for

• Solid fundamentals in Python and/or TypeScript, and projects you've built or worked on in your own time
• Extremely AI-pilled: you're constantly working with models and have been experimenting with the latest tools and paradigms to get the most out of them
• Quick to pick up new tools, and you have opinions on which ones are worth it
• Curious about how people outside engineering work, and keen to make their work faster/more automated
• Hungry and resourceful, whether you're studying, recently graduated, or self-taught