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 current 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

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

📌 AI Tools & Automation Intern (Developer) (India)
🏢 Hudson Manpower
📍 India