Build the products that power our growth:
We're a fast-growing startup building the next generation of tools for our industry. Small, opinionated engineering team that moves fast - a dozen engineers shipping features that reach users the same week. Backed by top-tier investors and scaling rapidly. Your code matters from day one.
We're AI-native - not as a marketing line, but in how we actually work. Every employee ships with AI daily. We build LLM-powered products and use AI tooling internally. Most companies are still figuring out where AI fits. We already know.
Own problems end-to-end: scope, build, ship, iterate. Strong opinions about code quality, thoughtful architecture, and the drive to figure things out independently.
Why throxy:
Impact from day one
Small team, big problems, your code ships to users immediately.
Engineering-first culture
We obsess over code quality, tooling, and developer experience.
AI-native workflow
We don't just build AI products. We use AI to build better, faster.
Growth
We're scaling quickly and there's room to grow into leadership, architecture, or specialist roles.
The stack:
We're building with TypeScript, React, Next.js, and modern AI tooling. Our infrastructure includes SingleStore, OpenSearch, Trigger.dev, and Axiom. We care about clean code, fast iteration, and engineering excellence.
What you'll do:
Build full-stack features from UI to backend, taking ownership of entire product surfaces.
Write code that others can reason about: clear intent, minimal surprise, well-organised. You've developed taste for what good code looks like, and that includes making it readable for the AI tools working alongside you.
Work with AI tools as a core part of your development workflow: we're AI-native and expect you to be comfortable planning with and through AI, not just vibe-coding.
Architect systems with a holistic view: understanding how the frontend, backend, and infrastructure connect and affect each other.
Ship quickly in a startup environment where your work goes live fast and feedback loops are tight.
Collaborate with a small, senior team where everyone's input shapes the product.
Strong signals:
Experience at a high-calibre tech company: FAANG, Bloomberg, Stripe, Shopify, Revolut, Datadog, or similar.
Time at a startup or small team (< 20 people) where you wore many hats.
Experience building with AI/LLMs: AI agents, RAG systems, or LLM-powered features.
You've built something end-to-end on your own: a side project, an open source tool, a past business.
What we're looking for:
Our hiring process:
We get to know each other. We'll talk about your experience, what you're looking for, and give you a clear picture of throxy.
A realistic problem that tests your coding and reasoning skills. We evaluate code quality, architecture decisions, and how you think through problems.
Meet more of the team, talk about culture, role expectations, and comp.
We aim to move through the full process in 1-2 weeks.