Senior Applied AI Engineer
crossover
Job Description
- Developing Self-Improving AI Content Generation Systems – Creating agent-based workflows that produce educational materials and continuously enhance themselves through evaluation loops and systematic experimentation.
- Building Evaluation Sets & Experiment Harnesses – Assembling curated datasets (inputs → expected outputs) and implementing scoring frameworks to assess, compare, and refine the quality of AI-generated educational content.
- Architecting Context Packs – Constructing structured knowledge resources that deliver domain-specific grounding, enabling systems to produce accurate, high-caliber educational materials across multiple subjects.