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:

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Build AI systems (LLMs, MCP servers, APIs)

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Continuously track and evaluate new AI tools & releases

This is a builder + researcher hybrid role, but execution > research.
Key Responsibilities:

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AI Development (Primary Focus)

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Build applications using: OpenAI, Anthropic, Google DeepMind

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

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MCP Server & AI Systems

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Build and maintain MCP (Model Context Protocol) servers

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Create tools that LLMs can use: APIs, Internal systems

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Design: Multi-step workflows, Structured outputs

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AI Tools & Trends Tracking (Important)

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Stay updated with: New AI tools launches, Model updates, Dev frameworks

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Sources to track: Twitter (AI builders), Product Hunt, GitHub trending

- Filter: What is useful vs hype

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Rapid Prototyping

- Build quick POCs using new tools

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Example: Try new model → integrate → test → report

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Convert useful tools into: Internal features, Product improvements

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Weekly Intelligence Reports

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Share: 5–10 new tools, 2 tools worth implementing, 1 working demo/POC

Requirements
Required Skills:

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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

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Good to Have: RAG / vector DB, FastAPI / Node backend, GitHub projects

Ideal Candidate:

- Builds side projects

- Actively explores new AI tools

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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