1. AI / ML Engineer (MOST IMPORTANT) Role: Work with LLMs (APIs or open-source) Build your “learning” layer (even if simulated) Handle ranking, embeddings, similarity, etc. Skills: Python PyTorch / TensorFlow NLP basics LLM frameworks (LangChain, etc.) This person turns your idea into “actual intelligence” 2. Backend Developer Role: Build system logic Handle APIs, database, user requests Manage scaling and performance Skills: Node.js / Python (FastAPI, Django) Database (MongoDB / PostgreSQL) REST APIs This is your system backbone 3. Frontend Developer Role: Build user interface for: discussions voting interaction with AI Skills: React / Next.js UI/UX basics If UI is bad → users won’t stay → your idea fails 4. Data Engineer (VERY underrated for your idea) Role: Handle large-scale user input Clean, store, and structure data Build pipelines for “learning” Skills: Data pipelines ETL Databases + scaling Your whole idea depends on data quality 5. UX / Product Designer Role: Design how discussions happen Structure: arguments voting discourse flow This is CRITICAL for you If this fails: your system becomes chaos Advanced / optional (but powerful) 6. NLP / Research Engineer Role: Work on: semantic clustering trend detection discourse analysis Makes your system “smart”, not just functional 7. Blockchain Developer (LATER, not now) Role: Implement: authentication decentralization logic Skills: Solidity Web3 Only hire AFTER prototype works 8. DevOps Engineer Role: Deployment Scaling servers CI/CD pipelines Needed when users grow 9. Cybersecurity Specialist (important for your concept) Role: Secure: user data system access potential attacks Especially important since you're dealing with public input