Software Engineering Intern

36Labs

Greater London

Hybrid

GBP 16,000 - 20,000

Full time

31 hours ago
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Job summary

36Labs in London is seeking a Software Engineering Intern to contribute to real, in-production systems. This internship is designed to become a full-time role, with AI driving much of what we ship and a focus on judgment and taste as core skills.

You'll ship features end-to-end, collaborate across video and language model systems, and build scalable LLM workflows, prompts, context engineering, evals, and agents, in a hands-on environment.

Qualifications

  • Solid fundamentals in Python and/or TypeScript with projects you built or worked on in your own time.
  • Genuinely excited about AI and building with LLMs, and quick to pick up new tools.
  • Proficiency with AI coding tools and experimenting with different tools and paradigms to maximize model performance.
  • Hungry and resourceful, whether you're studying, recently graduated, or self-taught.

Responsibilities

  • Shipping real features into production with guidance from an engineer.
  • Working across systems that turn video and language models into content end-to-end.
  • Building and improving LLM workflows: prompting, context engineering, evals, and agents.

Skills

Python
TypeScript
LLM workflows

Job description

36 Labs is an early stage startup using AI and machine learning to optimise the world of social media marketing. We build with video and language models: how content is conceived, generated, distributed, and optimised.

We're looking for a Software Engineering Intern to build alongside us on real, in-production systems. This is an internship designed to become a full-time role. 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.

What you'll be doing
  • Shipping real features into production, with an engineer close by to help you level up
  • Working across the systems that turn video and language models into content, end to end
  • Building and improving LLM workflows: prompting, context engineering, evals, and agents
What we're looking for
  • Solid fundamentals in Python and/or TypeScript, and projects you've built or worked on in your own time
  • Genuinely excited about AI and building with LLMs, and are quick to pick up new tools
  • Proficiency with AI coding tools: you often find yourself experimenting with different tools and paradigms to get the most out of the models
  • Hungry and resourceful, whether you're studying, recently graduated, or self-taught
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