AI Tools & Automation Intern (Developer)

Role Summary

Job Role: AI Developer Intern (LLM + MCP + AI Trends)

• 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.

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

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

Requirements

• 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