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