Description

Apply infrastructure expertise to advance next-generation AI systems, evaluating model reasoning in complex distributed engineering scenarios.

This role is remote.

Responsibilities

• Challenge advanced language models with real-world infrastructure scenarios to assess their reasoning abilities.
• Evaluate AI capabilities in cloud-based environments and complex enterprise software architectures.
• Contribute to improving how AI models understand distributed systems and scalability optimization.
• Assist in enhancing AI reliability, performance, and production-grade software design patterns.

Required Skills

• 5+ years of experience with Java and enterprise software architecture.
• Deep understanding of distributed systems and cloud computing principles.
• Experience in systems analysis and production-grade software design.
• Background in scalability optimization and reliability engineering.
• Ability to work in technical and research-driven environments.

Preferred Skills

• Experience with AI systems development and AI evaluation methodologies.
• Knowledge of performance optimization in large-scale systems.

Key Skills

Education

Any Graduate