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:

  1. AI Development (Primary Focus)

    • Build applications using: OpenAI, Anthropic, Google DeepMind

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

  2. 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

  3. 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

  4. Rapid Prototyping

    • Build quick POCs using new tools

    • Example: Try new model → integrate → test → report

    • Convert useful tools into: Internal features, Product improvements

  5. 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