✓ Screened eligible
Why you can actually get this job
The posting states 'Worldwide' scope with no geographic, work authorization, language, timezone, or residency restrictions. The role is an internship (not a US W2 employee position) with no visa sponsorship language. The target user meets all technical requirements and can work from Jamaica UTC-5.
“Worldwide”
Geographic scope — No location restrictions stated — worldwide.
“Stated location / restrictions: Worldwide”
Geographic scope — Explicit worldwide scope with no country exclusions or regional restrictions stated.
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
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
