Backend Engineer (Product)

Core responsibilities:

• Design and implement scalable backend systems capable of processing and analyzing large volumes of AI agent logs in real-time
• Build and maintain data processing pipelines that extract, transform, and store agent trajectory data efficiently
• Architect database schemas and data models optimized for both high-throughput writes and complex analytical queries
• Develop secure, well-documented RESTful APIs that allow customers to integrate our monitoring product into their workflows
• Build comprehensive logging, metrics, and tracing systems to ensure visibility into system health and performance

This role helps transform complex AI research into practical tools that reduce risks from AI, building products that make AI agent safety accessible at scale and monitor AI coding agents for safety and security failures.

Required skills and experience:

• Experience designing and implementing scalable backend systems and data processing pipelines
• Proficiency in building secure RESTful APIs with authentication, authorization, and rate limiting
• Expertise in database design, data modeling, and efficient storage solutions
• Experience with monitoring, observability, and alerting systems
• Ability to work closely with researchers and translate research prototypes into production-ready systems

No specific benefits, compensation, or perks mentioned in the job description.

Apollo Research is primarily concerned with risks from Loss of Control in AI, particularly deceptive alignment/scheming, and works on detection, science, and mitigations of scheming while developing tools and products to prevent harms from widely deployed AI systems.