Job Role: AI Developer Intern (LLM + MCP + AI Trends)
Role Overview
We are hiring an AI Developer Intern who can both
- Build AI systems (LLMs, MCP servers, APIs)
- Continuously track and evaluate new AI tools & releases
This is a builder + researcher hybrid role, but execution > research.
Key Responsibilities
- AI Development (Primary Focus)
- Build applications using: OpenAI, Anthropic, Google DeepMind
- Implement: Tool/function calling, Context handling, Prompt pipelines
- MCP Server & AI Systems
- Build and maintain MCP (Model Context Protocol) servers
- Create tools that LLMs can use: APIs, Internal systems
- Design: Multi-step workflows, Structured outputs
- AI Tools & Trends Tracking (Important)
- Stay updated with: New AI tools launches, Model updates, Dev frameworks
- Sources to track: Twitter (AI builders), Product Hunt, GitHub trending
- Filter: What is useful vs hype
- Rapid Prototyping
- Build quick POCs using new tools
- Example: Try new model → integrate → test → report
- Convert useful tools into: Internal features, Product improvements
- Weekly Intelligence Reports
- Share: 5–10 new tools, 2 tools worth implementing, 1 working demo/POC