Full-Time Sr. AI Data Engineer

• Design, build, and operate scalable real-time data pipelines for Applied AI model training.
• Collect, normalize, and store data across multiple sources, including external LLM providers.
• Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards.
• Provide secondary support to AI Research & Development efforts.
• Maintain clear communication channels across teams.
• Stay current with emerging tools and methodologies in AI data engineering.

• At least 4 years of experience in data engineering, focused on AI/ML data infrastructure.
• Proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation).
• Experience with cloud-native data platforms (AWS, Azure, GCP) and vector databases.
• Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI).
• Experience with Large Language Models (LLMs), embedding generation, and RAG systems.

• 6+ years of experience in data engineering with a focus on AI and machine learning projects.
• Experience in a technical leadership or mentorship role.
• Experience in education, EdTech, or academic integrity sectors.

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