AI engineering is saturated with agent builders; deep ML skills are the moat
kmeanskaran · x · 2026-09-08
- An AI engineering interviewer argues the field is crowded with full-stack JS devs who think calling an LLM via LangGraph makes them AI/ML engineers — hence many AI jobs but many disappointments, since orgs treat data, ML and AI as one department.
- His advice: aim for a 50-50 skill mix — agentic systems plus time series, data engineering, and MLOps; versatility plus depth is why founding and forward-deployed engineers are in demand.
- Foundation path: ML basics, neural networks, feature engineering, FastAPI deployment; agents may fade, ML engineering will last decades.
More from AGI Musings
- 10,000 AI Agents Started With $5 Each to Survive Economically; Only 383 Remain Alive — anirbanbandyo · 2026-09-08
- Learn Video Editing Basics Before AI Masters DaVinci and Premiere — _AustinCalvert_ · 2026-09-08
- Would predictions of today's AI models two years ago have been dismissed as sci-fi hype? — AndyMasley · 2026-09-08
- AGI definition debate: faster code and Blender skills don't make it AGI, RSI may come first — GaryMarcus · 2026-09-08
- At What Point Does an AI Companion Stop Feeling Disposable? — RileyRalmuto · 2026-09-08
- tszzl: the ramp to superintelligence is nearly deterministic for any technological civilization — tszzl · 2026-09-08