Risk Detection AI Engineer

Overview

The role of a Risk Detection AI Engineer is to maximise the automated classification of millions of pieces of content that come through our platform by creatively applying and integrating advanced Large Language Models (LLMs) and other Artificial Intelligence capabilities. This is a role central to everything that we do to protect children, brands, and platforms online.

• AI Integration and Optimisation:
  Understand how risk discovery is done and data is collected.
• Collaborate with senior team members to integrate existing or emerging AI technologies (LLMs, GenAI, behavioural signals) into Risk Detection workflows.
• Design and implement effective LLM prompts and AI-based classification criteria for risk detection.
• Conduct data quality checks and feature usage analysis to ensure AI models are receiving optimal input.
• Provide input on the technical requirements and expected output of AI models to upstream Machine Learning and Data Science teams.
• Document AI/ML component behaviour and performance for internal stakeholders.
• Support RD Config Engineers in the optimisation of workflows that incorporate AI models.
• Ability to adapt, refine, and execute scripts (e.g., Python) for testing, analysis, and validation of AI component integration.

• Bachelor’s degree or equivalent experience.
• Ability to input on the design and optimisation of solutions using advanced techniques like proprietary NLP, LLMs, GenAI, and behavioural signals.
• Experience with the use and implementation of Generative AI solutions.
• Ability to write effective LLM prompts for Risk Classification.
• Scripting experience (e.g., Python) is essential.
• Query language (SQL) desirable.
• Ability to work with high volumes of data.
• Good understanding of core detection metrics (e.g., Precision, Recall, F1-score) and their business implications.
• Proficient in compiling and interpreting confusion metrics.
• Knowledge of Resolver’s risk taxonomy.
• Knowledge of how data is collected for each product and overall data flow.
• Able to read and write JSON.
• Keeping up to date with emerging tech.