Senior Context Engineer, AI Systems

November 6

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MagicSchool AI

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Education • Artificial Intelligence

MagicSchool AI is a leading artificial intelligence platform tailored for the education sector. It offers over 70 AI tools that assist educators in lesson planning, writing assessments, and communicating effectively. The platform is embraced by over 4 million educators worldwide and integrates with learning management systems like Google Classroom and Microsoft Word. MagicSchool AI emphasizes responsible AI use, supporting both educators and students in building AI literacy while ensuring privacy and compliance with regulations. The platform offers a wide range of resources to enhance learning experiences, save educators time, and promote AI literacy, making it a valuable tool for modern education needs.

11 - 50 employees

Founded 2023

📚 Education

🤖 Artificial Intelligence

💰 $2.4M Pre Seed Round on 2023-08

📋 Description

• Architect and optimize how MagicSchool's AI agents reason, remember, and operate within complex educational workflows. • Design context management systems that determine what information our agents see. • Implement the technical foundation of how AI agents manage their 'mental workspace'. • Build dynamic, runtime data fetching to enable agents to autonomously pull relevant curriculum content and student data. • Build token-efficient tool APIs and retrieval layers for context-aware features. • Collaborate with Product to translate educational workflows into optimal context configurations. • Shape work for the team and coordinate with other squads on requirements and integrated projects. • Share context engineering insights with the team to contribute to discussions on context management patterns.

🎯 Requirements

• 4+ years building distributed systems. • Hands-on experience with RAG systems, knowledge graphs, or semantic search platforms in production environments. • Strong coding skills in Python, TypeScript/Node.js. • Experience with our stack (TypeScript, Node.js, PostgreSQL, NextJS, Supabase) or similar. • Proficiency with LLM APIs (OpenAI, Anthropic, etc.) and their context management patterns. • Experience with Model Context Protocol (MCP), context window optimization for specific model families. • Understanding of or interest in how educational content is structured (standards, curricula, taxonomies) and privacy requirements (FERPA/COPPA). • Experience with agent evaluation, measuring context quality/relevance, or instrumentation for attention budget tracking. • Knowledge of curriculum standards, learning progressions, or educational metadata schemas that inform context design.

🏖️ Benefits

• Unlimited time off to empower our employees to manage their work-life balance. • Employer-paid health insurance plans, with dental and vision at low premiums. • Generous stock options, vested over 4 years. • 401k match & monthly wellness stipend.