People In AI is a well-funded, early-stage technology company addressing challenges in generative AI. They are seeking a Principal AI Engineer to design systems that enhance the understanding, reliability, and maintainability of AI-driven applications in production environments.
Responsibilities:
- Design architectures for evaluating and understanding AI system behavior
- Develop approaches for diagnosing unexpected outputs in AI-driven workflows
- Guide engineers toward practical ways to improve system performance and reliability
- Contribute to platform-level decisions around applied AI infrastructure
- Help define best practices for building robust AI-powered applications
Requirements:
- Strong engineering background with exposure to applied AI systems
- Experience shipping or supporting AI-powered applications in production
- Systems thinking and strong architectural judgment
- Familiarity with evaluation methods, monitoring approaches, or reliability patterns in AI systems
- Comfort working in early-stage environments where direction evolves quickly
- Ability to communicate complex technical tradeoffs clearly