Role overview
Our data and AI team works closely with product and engineering to build production-ready AI systems that improve user safety and experience.
This role focuses on LLM / Data Scientist rather than traditional statistics-only data science. You'll support an existing ML/AI engineer to design and deliver an AI chat moderation capability using AWS Bedrock and agents. We work collaboratively, review code openly, and share learnings as the LLM space evolves.
What you'll work on
- Designing and delivering an AI chat moderator using LLMs
Building LLM-based applications with AWS Bedrock, including:
- Multiple foundation models
- Bedrock Agents / Agent Core
Prototyping and productionising LLM workflows using Python
Implementing prompt engineering, guardrails, and moderation strategies
Integrating LLM services into existing systems via APIs and event-driven flows
Collaborating closely with engineers, product, and data teams
Interview process
We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.
It usually looks like this:
- 30 minute call with our Talent Acquisition Team
- 30 - 60 min competency based interview, depending on the role.
- 60 - 90 minute panel interview
Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.