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 & releasesThis is a builder + researcher hybrid role, but execution > research.Key Responsibilities:AI Development (Primary Focus)Build applications using: OpenAI, Anthropic, Google DeepMindImplement: Tool/function calling, Context handling, Prompt pipelinesMCP Server & AI SystemsBuild and maintain MCP (Model Context Protocol) serversCreate tools that LLMs can use: APIs, Internal systemsDesign: Multi-step workflows, Structured outputsAI Tools & Trends Tracking (Important)Stay updated with: New AI tools launches, Model updates, Dev frameworksSources to track: Twitter (AI builders), Product Hunt, GitHub trendingFilter: What is useful vs hypeRapid PrototypingBuild quick POCs using new toolsExample: Try new model → integrate → test → reportConvert useful tools into: Internal features, Product improvementsWeekly Intelligence ReportsShare: 5–10 new tools, 2 tools worth implementing, 1 working demo/POCRequirementsRequired 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, AntigravityGood to Have: RAG / vector DB, FastAPI / Node backend, GitHub projectsIdeal Candidate:Builds side projectsActively explores new AI toolsThinks: “How can I use this in real product?”Not a YouTube learner, a doerHighlightsBuild LLM apps & MCP servers, test latest AI tools, ship real features, work closely with founders, fast growth, real product impactOriginally posted on Himalayas