Software Engineer

Defining what software development looks like when AI agents are first-class contributors.

💫 Company | AI-Native Developer Platform

📈 Stage | Series A, $100m+ raised, ~$750m valuation

📏 Size | ~50 people

🧢 Role | Software Engineer (Mid to Senior Level)

🎯 Areas | Agentic systems, developer tooling, AI-native workflows

✨ Stack | Python, TypeScript (Go, Java, C/C++, Haskell welcome)

📍 Based | King's Cross, London

💻 Hybrid | 3 days in-office (Mon, Tue, Thu)

💰 Offer | £75–130k + equity

Background

Most companies are making today's development workflows faster. This one is asking a different question: what does software development actually look like when AI agents can contribute meaningfully across design, implementation, and iteration?

This is a ~50-person company backed by world-class investors, founded by someone who has built a successful developer tools company before. They're not catching up to a market - they're trying to define one.

What you'd be working on

The core challenge is agent enablement: making AI agents useful and reliable inside real codebases - not in demos, but in production, across teams, at scale. Day to day, that might mean prototyping a new language integration on Monday, pairing with a designer to sharpen CLI interactions mid-week, and presenting a technical vision to the wider engineering team by Thursday.

The environment

Teams are small and cross-functional. Engineers work close to the why - contributing to product direction, not just taking tickets. AI is a core part of the development experience. Standards are high: clean, modular, reviewable code, strict CI, and a genuine care for how software is built across teams.

Who fits here

• You're a programming polyglot across several languages of different paradigms (e.g. JavaScript/TypeScript, Python, C/C++, Haskell, etc)
• You're equally comfortable hacking up a proof of concept to disprove an assumption and contributing carefully to a mature, well-structured codebase.
• You use AI tools seriously in your own workflow as a genuine accelerant.
• You care about code structure and aesthetics.
• You can articulate trade-offs clearly.
• You'd rather understand the problem deeply than optimise the wrong thing quickly.
• Experience with developer tooling, infrastructure, REST APIs, or open source is a genuine bonus.

The problem they're solving - what software development becomes in an AI-native world - is one of the most consequential open questions in the industry right now.

Reach out or apply below and I'll share more about the company and the role.