Software Engineer, Safeguards Infrastructure (AI)

TL;DR

Software Engineer, Safeguards Infrastructure (AI): Building foundational pieces for safety, oversight, and intervention mechanisms of AI systems with an accent on monitoring models, preventing misuse, and ensuring user well-being. Focus on developing infrastructure for data storage, metrics, evaluation systems, and robust multi-layered defenses for real-time safety improvements at scale.

Location: London, UK. Hybrid work model, requiring staff to be in the office at least 25% of the time.

Salary: £255,000 – £325,000 GBP

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems for safety and societal benefit.

What you will do

• Develop foundational systems for Safeguards, including infrastructure for data storage, management, metrics, evaluation, and tooling for human and agentic review.
• Ensure day-to-day operational excellence of Safeguards systems, serving both safety and customers while minimizing human intervention.
• Build robust, reliable, and multi-layered defenses for real-time improvement of safety mechanisms at scale.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience.
• 4-10+ years of experience in a software engineering position.
• Proficiency in Python.
• Ability to work across the stack.
• Strong communication skills to explain complex technical concepts.
• Must adhere to a hybrid policy, working from the London office at least 25% of the time.
• Visa sponsorship is available for eligible candidates.

Nice to have

• Experience building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems.
• Experience building metrics and measurement systems or data and privacy management systems.
• Proficiency in TypeScript or Rust.
• Experience with Claude Code or similar agentic coding tools.

Culture & Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative environment with frequent research discussions.
• Focus on high-impact AI research.