# @the.datascience.gal on Instagram

- **Type:** Video
- **Original URL:** https://www.instagram.com/p/DcVJhs-sp-T
- **Gondola URL:** https://gondola.cc/posts/69580286-thedatasciencegal-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/41f44868c8.jpg
- **Posted:** 2026-08-22T05:22:40.000+00:00
- **Account Owner:** Aishwarya Srinivasan | Data & AI | LinkedIn Top Voice (@the.datascience.gal) — https://gondola.cc/the.datascience.gal

## Caption

4 Skills Every AI Engineer Needs in 2026

AI engineering is no longer just about knowing how to build with LLMs.

After analyzing thousands of job postings and speaking with experts and hiring managers, the AI engineering skill map comes down to 4 major skills:

1. Build & Deploy AI Applications 🤖
Learn LLMs, context engineering, RAG, agents, machine learning, and deep learning.

2. Evaluate & Improve AI Systems 📊
AI is unpredictable. You need evals, error analysis, observability, guardrails, and continuous improvement.

3. Master Software Engineering Fundamentals 💻
Coding agents can write code, but you still need to understand APIs, databases, testing, security, system design, scalability, and cost.

4. Learn to Work With Coding Agents + Build Products 🚀
Give agents the right context. Write clear specs. Know when to plan, execute, test, and intervene. Most importantly, understand what problem is actually worth solving.

My advice?

Build one complete AI application from scratch.

Deploy it.
Create an eval set.
Get real people to test it.
Keep improving it.

And most importantly: Build in public. Share your projects on GitHub and LinkedIn.

A certificate tells people what you studied.

A working project shows them what you can actually build.

#AI #AIEngineer #ArtificialIntelligence #LLM #RAG

## Stats

- **Views:** 68,867
- **Likes:** 1,593
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- **Comments:** 58

## Tags

llm, aiengineer, ai, artificialintelligence, rag

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