--- title: "Six Choices Every AI Engineer Has to Make (and Nobody Teaches)" url: https://daily.dev/posts/six-choices-every-ai-engineer-has-to-make-and-nobody-teaches--y4hv094w3 source_url: https://towardsdatascience.com/six-choices-every-ai-engineer-has-to-make-and-nobody-teaches type: article source: "Towards Data Science" published: 2026-05-18T17:16:52.183Z updated: 2026-05-18T17:17:17.774Z tags: ["machine-learning", "llm", "deep-learning", "prompt-engineering", "mlops"] reading_time: 10 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Six Choices Every AI Engineer Has to Make (and Nobody Teaches) **[Towards Data Science](https://daily.dev/sources/tds)** · 10 min read · 0 upvotes · 0 comments ## Summary Six production trade-offs that AI engineers face but rarely learn in formal training: build vs. buy for LLMs (API vs. self-hosting cost curves), model complexity vs. maintainability (the hidden 18-month debugging tax), data quantity vs. quality (noise thresholds and data swamps), batch vs. real-time inference (most problems don't need sub-second predictions), prompt engineering vs. fine-tuning (start with prompts, escalate only when needed), and automation vs. human oversight (selective HITL based on error cost and reversibility). Each trade-off is backed by recent research with concrete numbers, such as teams exceeding LLM budgets by 340% due to missing cost attribution, and prompt optimization with DSPy beating fine-tuning by 6–19 points on some benchmarks. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The Work Begins After the Demo Works](https://daily.dev/posts/the-work-begins-after-the-demo-works-3s2pslo8g) · Medium · 0 upvotes · 0 comments - [What AI Engineering Actually Looks Like in Production](https://daily.dev/posts/what-ai-engineering-actually-looks-like-in-production-jycz7pyv2) · BigData Boutique blog · 5 upvotes · 0 comments - [Build to learn, buy to scale: When to build your own AI SOC \(and when to stop\)](https://daily.dev/posts/build-to-learn-buy-to-scale-when-to-build-your-own-ai-soc-and-when-to-stop--mbd36ifxg) · Sysdig Blog · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#deep-learning](https://daily.dev/tags/deep-learning), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#mlops](https://daily.dev/tags/mlops) [View this post on daily.dev](https://daily.dev/posts/six-choices-every-ai-engineer-has-to-make-and-nobody-teaches--y4hv094w3)