Infrastructure role for AI systems in a flat team structure, focusing on data management and performance. Building scalable solutions to power AI for content metadata at Simply.TV.
Responsibilities
**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
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