Promo: Bashiri Smith's AI Engineer Career Community ($150K+ Goal)

Bashiri Smith · Facebook reel · 2026-08-28 · 0:11 · 17,832 views · Open on Facebook

Topics: Start Here: Roadmaps & Strategy, Resume, Job Search & Interviews · Level: beginner

Summary

This 11-second reel advertises Bashiri Smith's AI engineering career community. It teaches nothing technical. The caption lists what members get: daily calls with AI/ML engineers, recruiters and hiring managers, a step-by-step roadmap, portfolio projects, resume help, mock interviews, networking, job search support and community support. Viewers are told to comment "READY" to join.

Key points

• The video has no technical content. It is an ad for the creator's career community, pitched around becoming a $150,000+ AI engineer.
• The roadmap order given is LLMs, RAG, Agents, Ops, Evals, Safety & Ethics, then ML. You can use this as a checklist for your own study plan.
• Offered in the program: daily calls with AI/ML engineers, recruiters and hiring managers.
• Also offered: portfolio projects, resume help, mock interviews, networking, job search support and community support.
• To join, comment "READY" on the reel. The caption gives no price and no link.

Resources mentioned

• BASWE.Ai Engineer (Skool community) · community · skool.com · paid
  The creator's paid community and program, with an AI learning roadmap (including the full ops and evaluation track), daily calls with engineers and recruiters, resume and portfolio help, and a job-search pipeline.
  Also in: Basic RAG Pipeline in 60 Seconds: From Documents to Grounded Answers (Bashiri Smith on Facebook · notes), Pointer to Bashiri Smith's Complete AI Engineer Roadmap for 2026 (Bashiri Smith on Facebook · notes), Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), How to Evaluate a RAG Pipeline: Retrieval vs. Generation (Interview Answer) (Bashiri Smith on Facebook · notes) and 76 more

Try this

• To join the community, comment "READY" on the reel.
• Optional: use the listed order (LLMs → RAG → Agents → Ops → Evals → Safety & Ethics → ML) as a checklist for your own study.