AI Tools & Automation Intern (Developer)

Build applications using: OpenAI, Anthropic, Google DeepMind

Implement: Tool/function calling, Context handling, Prompt pipelines

Build and maintain MCP (Model Context Protocol) servers

Create tools that LLMs can use: APIs, Internal systems

Design: Multi-step workflows, Structured outputs

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

Build quick POCs using new tools

Example: Try new model → integrate → test → report

Convert useful tools into: Internal features, Product improvements

Share: 5–10 new tools, 2 tools worth implementing, 1 working demo/POC

Must-Have: Python or JavaScript (strong basics), API understanding, Basic LLM knowledge: Tokens, Context Prompting, Critical (Filter Here), Can build, not just explore, Understands: MCP / tool calling, How LLM apps actually work, Cursor, Antigravity

Good to Have: RAG / vector DB, FastAPI / Node backend, GitHub projects

Builds side projects

Actively explores new AI tools

Thinks: “How can I use this in real product?”

Not a YouTube learner, a doer