AI Tools & Automation Intern (Developer)

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 Requirements Required Skills: - 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 Ideal Candidate: - Builds side projects - Actively explores new AI tools - Thinks: “How can I use this in real product?” - Not a YouTube learner, a doer Highlights Build LLM apps & MCP servers, test latest AI tools, ship real features, work closely with founders, fast growth, real product impact Originally posted on Himalayas