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

Originally posted on Himalayas