Software Engineering

Andrew Ng’s 4 AI Skills for Developers: What Tech Hiring Looks Like Now

DeepLearning.AI analyzed over 10,000 job posts to identify four core AI skills. First, developers must build and deploy applications using LLMs, RAG, and agents. Second, traditional software engineering remains mandatory. Third, developers need to manage AI coding tools effectively. Fourth, engineers must learn to shape products from scratch.

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Baqir Ali
• • 3 min read
Andrew Ng’s 4 AI Skills for Developers: What Tech Hiring Looks Like Now

What Developers Really Need in 2026

Honestly, tech hiring is messy right now. People freak out over new tech every week. But look, DeepLearning.AI checked 10,000 job posts recently. They found four main things companies want.

I was looking at code standard-- I mean standards yesterday. Things are changing fast, but not how people think.

Building Actual AI Tools

First, you got to build real stuff. Knowing concepts is not enough anymore.

Use LLMs directly in your app.
Set up RAG for accurate data.
Work with autonomous agents.

If you can put these together, you win. It is about practical builds.

Old School Coding Matters

Do not throw away your basics. Regular software engineering is still the foundation.

You still write clean functions. You fix bugs. You manage databases.

AI writes code fast. True. But humans must check it. If you do not know basic logic, you cannot spot bad code. The fundamentals keep your app running.

Using AI Assistants Right

You need to control coding assistants. They are tools, not replacements.

Prompt them clearly.
Catch their mistakes quickly.
Speed up your daily tasks.

Think of it like managing a junior dev. You direct the work. You do not just trust it blindly.

Product Ownership

Lastly, build products from scratch.

Do not wait for tickets. Talk to users. Figure out what to make. Then write the code to solve it.

Engineers who understand business win big. They solve real problems.

So stop stressing over every single tool. Master these four areas instead. Keep it simple. Build real projects. Learn as you go.

For a full look at the original data breakdown, watch The AI Skills Map Every Developer Needs in 2026.

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