AI Tools & Automation Intern (Developer)

Hudson Manpower

1d

About The Position

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 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

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed