AI Systems Engineer – English
Simply.TV
full-time
Posted on:
Location Type: Hybrid
Location: Copenhagen • Denmark
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About the role
- **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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonbackend engineeringdata pipelinessystem architectureperformance metricslatencyreliabilityLLMsCloudFormationIaC
Soft Skills
problem solvingadaptabilitycritical thinkingassumption challengingevidence-based decision making