GenAI Engineer

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Requirements:

• 7+ years of experience as an engineer
• Hands-on Experience with AI/ML Models: At least 2 years of working with large language models (LLMs) and generative AI technologies, including fine-tuning and deploying these models for specific use cases. Experience working with tools like OpenAI’s GPT, Claude, Hugging Face, or other similar platforms for integrating and customizing AI models would be essential.
• API Integration and Deployment: Experience integrating AI/ML models into existing software platforms using APIs. Familiarity with platforms like Google Cloud AI, AWS AI services, or similar tools is critical, as the role requires seamless integration of pre-built models.
• Project-Based Work: Proven track record of delivering AI-powered projects or tools from conception to deployment, with measurable impact. Experience with side projects involving AI agents, chatbots, or data-driven applications showcasing initiative and creativity.

Responsibilities:

• Evaluate AI Models: Build automated frameworks to assess our tools for accuracy, efficiency, and bias, ensuring that AI outputs remain equitable and reliable. Focus on refining model evaluations to support a diverse range of educational needs.
• Customizable AI Solutions: Create scalable and flexible AI solutions that allow teachers and districts to customize tools for their specific classroom contexts, increasing the adoption rate of MagicSchool's platform across districts by 15%.
• Innovative AI Deployments: Continuously evaluate emerging GenAI tools, deploying relevant new features to improve our product. Prototype and test applications that enhance educators' productivity and align with our mission.