Multi-disciplinary team for Novel AI Project

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