Software Engineer

36Labs; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

36 Labs is an early-stage startup using AI/ML to optimise social media marketing. We build with video and language models, spanning content conception to generation, distribution and optimisation.

We are hiring a Software Engineer to help us scale long term. The role emphasizes judgment and taste as we harden foundations, keep quality high, and ship rapidly as the project expands across the stack.

Qualifications

• Strong fundamentals in Python and TypeScript.
• Production experience building LLM-powered systems.
• Strong system design skills and product sense across SQL databases and datasets at scale.
• Proficiency with AI coding tools.
• Evidence of solving hard problems via personal projects or GitHub contributions.
• Able to ship end-to-end fixes in a fast-moving environment.

Responsibilities

• Building and extending the systems that turn video and language models into content, end to end
• Designing the abstractions the team builds on, so the codebase stays an asset, not a liability, as we scale
• Looking for opportunities to reduce complexity in a fast-moving codebase: refactoring, deleting, and making the right thing the easy thing to do
• Integrating and structuring raw platform data into clean, reliable inputs: the formats our downstream systems and AI workflows depend on
• Setting the engineering standards a small team compounds on: testing, observability, CI, and code review

Skills

Python

TypeScript

LLM systems

System design

Testing & CI

Code review

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, from how content is conceived, to how it's generated, distributed, and optimised.

We're looking for a Software Engineer to help us build 36 Labs for the long term. Our product moves fast and the codebase has grown fast with it. AI writes a lot of what we ship, so the bottleneck isn't typing, it's judgment and taste. We need someone who can harden the foundations and keep the bar high so we keep shipping at speed as we scale.

What you'll be doing

• Building and extending the systems that turn video and language models into content, end to end
• Designing the abstractions the team builds on, so the codebase stays an asset, not a liability, as we scale
• Looking for opportunities to reduce complexity in a fast-moving codebase: refactoring, deleting, and making the right thing the easy thing to do
• Integrating and structuring raw platform data into clean, reliable inputs: the formats our downstream systems and AI workflows depend on
• Setting the engineering standards a small team compounds on: testing, observability, CI, and code review

What we're looking for

• Strong fundamentals in Python and TypeScript, and a track record of writing clean, well-tested production code in large codebases
• Production experience building LLM-powered systems: prompting, context engineering, RAG, agent architectures, evals
• Strong system design skills and product sense, with comfort working across SQL databases and datasets at scale
• Proficiency with AI coding tools: you get more out of them than most
• Can showcase solving hard problems with artifacts like personal projects or GitHub contributions
• Comfortable reaching into unfamiliar code across the stack to ship the right fix, and working where priorities are a moving target
• Comfortable moving fast where things are loosely defined and priorities compete; you wear several hats and own problems end-to-end