The hard-won advice from r/artificial, r/cscareerquestions, and founder threads on hiring AI developers who actually ship to production.
The recurring story across r/artificial, r/cscareerquestions, and founder subreddits is the same: someone hired for AI skills on paper and got a prototype that demoed well and never survived production. The lesson people keep drawing is that building a model demo and shipping a reliable system to real users are different jobs, and confusing the two is the most expensive hiring mistake in AI right now.
The advice clusters around production evidence. Ask what the candidate or team has actually shipped that real users depend on, not what they have fine-tuned in a notebook. Screen for the unglamorous engineering: integrations, error handling, latency, monitoring, the work that separates a demo from a system. Threads also warn against hiring pure researchers for product work and pure prompt-tinkerers for anything that needs real software engineering.
The other repeated theme is scope discipline. Teams that shipped hired people who could take a fuzzy problem, cut it to a concrete first release, and deliver it, rather than chase an open-ended research goal.
We come at hiring from the shipping side. Our team built and runs Battery Smart's production voice agent on a 1M-plus device network and a live member portal with Stripe billing, real systems with real users, not demos. When you hire through us, you get engineers who have already done the unglamorous production work the threads tell you to screen for, on a project or dedicated basis.
Production evidence. Ask what they have shipped that real users depend on, and screen for the integration, latency, error-handling, and monitoring work that separates a demo from a system. A notebook prototype is not evidence of shipping ability.
For product work you need an engineer who ships. Researchers excel at novel modeling; product needs someone who cuts a fuzzy problem to a concrete release and makes it reliable in production. Match the hire to the job.
Book a 30-minute call with the engineer who builds these systems and get an honest read on what fits.