# Five AI Engineering Skills for Full-Stack Developers

DevFeed: [Five AI Engineering Skills for Full-Stack Developers](<https://devfeed.tech/articles/the-new-ai-engineering-stack-32384.md>)

Original publisher: [Read original article](<https://brianjenney.substack.com/p/the-new-ai-engineering-stack>)

Author: Brian Jenney

Published: 2026-02-19T17:03:06Z

Content type: article

Language: en

Sources: [Brian Jenney](<https://devfeed.tech/sources/brian-jenney.md>)

Topics: [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [Full-Stack](<https://devfeed.tech/topics/full-stack.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Back end](<https://devfeed.tech/topics/backend.md>)

Tags: [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [backend](<https://devfeed.tech/tags/backend.md>), [cost](<https://devfeed.tech/tags/cost.md>), [developers](<https://devfeed.tech/tags/developers.md>), [full-stack](<https://devfeed.tech/tags/full-stack.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [rag](<https://devfeed.tech/tags/rag.md>)

## AI overview

This article argues that AI application development is primarily product engineering around models rather than model research or training. It introduces skills including choosing models intentionally, managing token costs and latency, and using retrieval to ground LLM applications in company data.

## Source excerpt

5 Skills That Give Developers an Unfair Advantage