- Design and implement scalable AI-driven features with a focus on multi-agent systems and advanced RAG architectures
- Own the full lifecycle of AI services, from model selection and deployment to monitoring in a Kubernetes environment
- Write clean, maintainable code primarily in Python, while collaborating on core infrastructure services written in Go
- Establish clear standards for data privacy, model bias, and security, including practices like model cards, red-teaming protocols, and privacy impact assessments
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