Frontend Software Engineer (AI Copilot)

We are looking for a Senior Frontend Engineer to join our AI Copilot organisation. AI Copilot is a multi-million ARR product that puts AI directly into the hands of customer service agents and administrators. You will own the user-facing experience of AI-powered features — building the interfaces where admins and agents interact with Copilot — taking significant pieces of work from design through to production.

We ship to learn: our philosophy is to deliver early, deliver often, and iterate based on real-world customer feedback.

What you'll be doing

• Own and deliver end-to-end product features — from technical design through implementation, testing, release, and iteration — with a focus on the frontend experience.

• Build accessible, performant, and maintainable UIs in React and TypeScript, using our Garden design system.

• Partner with Product Design to turn designs and prototypes into polished, production-ready interfaces, and push back constructively on tradeoffs.

• Work closely with backend, ML Scientists, and ML Engineers to integrate AI-powered capabilities into reliable, user-facing features — including streaming responses, latency handling, and graceful failure states.

• Contribute to frontend architecture decisions within your team (component design, state management, performance), with growing influence across teams.

• Improve the reliability, performance, and maintainability of the systems you work on — proactively identifying and addressing technical debt.

• Occasionally reach into the backend (APIs, integrations) to unblock yourself and ship features end-to-end.

• Mentor more junior engineers through code review, pairing, and knowledge sharing.

What you bring to the role

Required

• 5+ years of experience building and operating large-scale, Internet-facing web applications.

• Strong proficiency in modern frontend development: JavaScript/TypeScript, React, and the browser platform (state management, performance, accessibility).

• Solid understanding of building against RESTful APIs and integrating with backend services; comfortable reading and making small backend changes when needed.

• Experience with CI/CD practices and shipping to production frequently.

• A track record of owning features end-to-end and delivering them to production with high quality.

• An eye for UX and design detail — you care about how the product feels, not just whether it works.

• Ability to work with uncertainty and the flexibility to pivot with changing priorities.

• Comfort working in a team alongside backend, ML engineers, and scientists — you don't need to be an ML expert, but you should be curious and able to collaborate effectively across disciplines.

• Strong collaboration skills and a genuine desire to help the team succeed.

Preferred

• Experience building UIs on top of LLM-powered features — streaming/token rendering, chat interfaces, evaluation, or handling non-deterministic responses gracefully.

• Familiarity with design systems and component libraries at scale (Garden, or equivalents).

• Working proficiency in Ruby or Python — enough to navigate our backend services and make small changes.

• Exposure to containerised deployments (Docker, Kubernetes) and cloud infrastructure (AWS).

• Experience with iterative, metrics-driven product development (A/B testing, feature flags, incremental rollouts).

• Familiarity with frontend observability and performance monitoring (Core Web Vitals, error tracking).

Tech Stack

• Our frontend is written in TypeScript and React, using our Garden design system

• Our backend code is written in Ruby and Python

• Our servers live in AWS

• Our services are deployed to Kubernetes using Docker

• Heavy usage of LLM technology from multiple providers via our LLM Proxy