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 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
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
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