Job Details

Intern in the AI Infrastructure Frontend Development Team at Yandex 360. Responsibilities include improving the MCP server, developing a Context7 analog, creating a rule and prompt management system for AI assistants, and generating AI-friendly documentation. Requires...

Improving the MCP Server You will expand the functionality of the MCP server, adding tools for searching and retrieving detailed information about components (props, APIs, examples). This will help AI assistants work better with the library and provide relevant context. Developing a Context7 Analog for Yandex 360 You will develop a system that automatically indexes and provides documentation for internal Yandex 360 packages in an AI-optimized format. The system will collect data from repositories and serve it via MCP/API upon request. Creating a Rule and Prompt Management System for AI Assistants You will create a centralized repository for versioned prompts and AI assistant behavior rules. It will support inheritance and automatic context substitution, ensuring consistency, security, and manageability of AI interactions across all teams. Generating AI-Friendly Documentation You will create CI/CD pipelines and scripts that automatically generate documentation from source code in a format convenient for AI agents. The documentation will include concise signatures, metadata, and examples. Generated artifacts will utilize MCP servers and the internal Context7 system.

Strong knowledge of TypeScript Experience with AI code assistants Daily use of Cursor, Claude Code, GitHub Copilot, and other AI assistants in real projects Understanding of how AI agents work and how to effectively use the context window Ability to identify when an agent lacks context and how to fix it Ability to explain the difference between good and bad prompts with examples