According to AndrewYNg, OpenAI and Anthropic are hiring FDEs, but AI Engineer roles will scale faster, driven by LLM apps, agents, and evals.

According to God of Prompt on X, a five-week curriculum using five Claude prompts claims to accelerate AI engineering upskilling for free; as reported by the tweet, the plan emphasizes structured prompt workflows to build end-to-end projects with Claude (source: @godofprompt, Mar 23, 2026). According to the original post, the approach focuses on rapid capability stacking—requirements drafting, system design, data prep, model integration, and evaluation—positioned as an alternative to multi-year programs (source: @godofprompt). From an industry perspective, this highlights rising demand for prompt-led AI engineering pipelines where Claude acts as a code copilot, documentation generator, and reviewer, creating opportunities for startups to productize curriculum-in-a-prompt, internal enablement playbooks, and managed LLM DevOps services (as discussed in the tweet). For businesses, the implication is faster proof-of-concept cycles, lower training costs, and standardized AI delivery checklists that reduce time-to-value in data apps, RAG systems, and agents, according to the claims presented by @godofprompt.