Systems Engineer – English

Role Overview

The role

6-person AI team led by our Head of AI. Flat. No middle management, no approval chains. You own what you build, and what you build goes to production.

This is an infrastructure role. You’re responsible for the infrastructure that makes our AI work at scale – how models run, how data moves, how the platform performs under load.

• System architecture, data pipelines, and backend infrastructure
• Infrastructure for running LLMs in the cloud and locally
• Performance metrics, latency, and reliability

Requirements

You'll thrive in this role if you have:

• Production-grade Python
• Backend engineering experience. You’ve built, deployed, and maintained systems that handle real throughput – data, APIs, storage
• Deep AWS expertise or similar. CloudFormation or other IaC. You know how to architect on it, not just deploy to it
• Data pipeline experience

How you think

We care about how you solve problems. AI moves too fast for credentials to be the main filter.

• You start by building. When something is unclear, you write code and read docs to figure it out
• You change your mind when the evidence changes. Ego stays out of technical decisions
• Dead ends are part of the work. If that frustrates you, this isn’t the right fit
• You challenge assumptions and propose things nobody else has tried

Tech Stack

• AWS
• Cloud
• Python