Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
https://towardsdatascience.com/six-choices-every-ai-engineer-has-to-make-and-nobody-teaches/
Publish Date: 2026-05-18 12:30:00
Source Domain: towardsdatascience.com
teach you how to make a model accurate. They rarely teach you the decisions that come right after.
How do you know when to fully automate something versus keeping a human in the loop?
When does prompting stop being enough and fine-tuning become worth the cost? What does it actually mean to pick real-time inference over batch when the bill arrives?
These questions don’t show up in coursework. They show up your first week in production!
This article walks through 6 trade-offs that show up in production AI work. All backed by the latest research, so you get a glimpse into how people are dealing with these common trade-offs.
There are no right answers here. There are useful frames, real numbers, and the kind of context that makes the next decision faster.
- Build vs. Buy in the LLM Era (When calling an API stops making sense)
- Model Complexity vs. Maintainability (Who debugs this in 6 months?)
- Data Quantity vs. Data Quality (More data isn’t always the answer)
- Throughput vs. Latency (Batch or real-time)
- Prompt Engineering vs. Fine-Tuning (Two very different investment curves)
- Automation vs. Human Oversight (How much do you trust the model to act alone?)
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1. Build vs. Buy in the LLM Era
When calling an API stops making sense
The old version of this question was: do we train our own model? That one is mostly settled. Almost nobody trains from scratch anymore.
The 2026 version is harder.
You have 3 options now: call an API, fine-tune an open-source model, or build and host your own stack. Each one has very different cost curves and very different failure modes.
Image created with DALL-E.
A 2025 Omdia survey of 376 technical and business stakeholders found that 95% agreed building gives more customization and control
The same survey found 91% agreed prebuilt platforms ship…
