Data Engineer (AI)

TL;DR

Data Engineer (AI): Designing and building robust data infrastructure to monitor AI models, prevent misuse, and ensure system safety with an accent on scalable data pipelines and warehousing solutions. Focus on developing high-impact analytical tooling to detect abuse patterns and measure safety intervention effectiveness at scale.

Location: Must be based in or able to commute to London, UK (Hybrid: 25%+ in office required)

Salary: £170,000–£220,000 GBP

Company

hirify.global is an AI safety and research organization dedicated to building steerable, interpretable, and beneficial AI systems.

What you will do

• Design and maintain scalable data pipelines for safety monitoring, abuse detection, and enforcement workflows.
• Develop optimized data models and warehousing solutions to enable large-scale safety analysis.
• Build dashboards and reporting infrastructure to provide visibility into model behavior and enforcement outcomes.
• Integrate multi-source data including model outputs, user reports, and automated classifiers.
• Implement data quality frameworks, monitoring, and alerting for safety-critical systems.
• Develop self-service analytical tooling to empower stakeholders across the organization.

Requirements

• 3+ years of experience in data engineering, analytics engineering, or a related role.
• Proficiency in Python and SQL with experience in ETL/ELT pipeline development.
• Hands-on experience with modern data stack tools like dbt, Airflow, or Spark.
• Experience with cloud data platforms such as BigQuery, Redshift, or Snowflake.
• Ability to translate complex data concepts for both technical and non-technical stakeholders.
• Must be available for hybrid work in London, UK.

Nice to have

• Experience with trust & safety, fraud, or abuse detection systems.
• Familiarity with event streaming systems like Kafka or Pub/Sub.
• Background in building data infrastructure for ML model monitoring.
• Knowledge of data privacy frameworks such as GDPR.

Culture & Benefits

• Competitive compensation and benefits packages.
• Collaborative environment focused on high-impact research.
• Flexible working hours to support work-life balance.
• Generous vacation and parental leave policies.
• Access to collaborative, modern office space in London.