Software Engineer to AI Engineer: The Four Pillars and Five Topics to Learn

Bashiri Smith · Facebook reel · 2026-09-07 · 0:37 · 4,477 views · Open on Facebook

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

Summary

The video argues that software engineers already cover most of what AI engineering requires. It cites four pillars of AI engineering, named by an unnamed AI expert: building and deploying AI applications, software engineering fundamentals, using AI coding agents, and writing clear specs. Engineers already have three of these, so the gap is mainly building and deploying AI apps. The creator lists five topics to study for that and promotes his BASWE.Ai Engineer Skool community.

Key points

• Four pillars of AI engineering: (1) building and deploying AI applications, (2) strong software engineering fundamentals, (3) using AI coding agents effectively, (4) writing clear specs that guide what gets built.
• Software engineers usually have pillars 2-4 already (fundamentals, coding agents, specs), so the main gap is building and deploying AI applications.
• The creator says the move to AI engineering brings at least a 20% pay increase (his claim, with no source given).
• Five topics to study: LLMs & RAG; agents & orchestration; deployment, monitoring & evaluations; safety & guardrails; machine learning foundations.
• Suggested timeline: spend about three months building on your existing software skills to make the switch.

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

• Spend the next three months working toward becoming an AI engineer by building on your software engineering skills.
• Learn how to build and deploy AI applications, since that is the main gap for most software engineers.
• Study the five topics: LLMs & RAG; agents & orchestration; deployment, monitoring & evaluations; safety & guardrails; ML foundations.
• Keep practicing with AI coding agents and writing clear specs.
• Optional: comment 'upgrade' or join the BASWE.Ai Engineer Skool community for the roadmap and mentorship.