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• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or comparable language.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience architecting scalable AI systems on cloud platforms such as Google Cloud Platform (GCP).
• Experience building pipelines for structured and unstructured data, incorporating vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise-grade AI solutions.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-a...