Who is the How to get hired as an AI engineer webinar for?

Backend, full-stack, and data engineers looking to switch into AI roles Mid-to-senior engineers preparing for AI engineer interviews this quarter Engineers targeting roles at AI-first companies and well-funded startups

What will I learn from How to get hired as an AI engineer?

Know the skills that actually decide AI engineering interviews right now Build portfolio projects that get callbacks instead of getting ignored Answer the "tell me about a RAG system you built" question without sounding like a tutorial Handle system-design questions specific to LLM-backed applications Walk out with a focused prep plan if you are switching in from backend or data engineering

Is How to get hired as an AI engineer live or on-demand?

How to get hired as an AI engineer is available on-demand. The recording is watchable immediately after registration.

How long is How to get hired as an AI engineer?

About 40 minutes including live Q&A.

What do I need before watching How to get hired as an AI engineer?

Comfort with the fundamentals of career. The webinar walks through real code and real architecture decisions, so a working knowledge of Python or TypeScript helps.

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How to get hired as an AI engineer

Name: How to get hired as an AI engineer
Uploaded: 2026-02-20T16:00:00Z
Duration: 40 min
Description: The skills, projects, and interview patterns that separate candidates who get offers from candidates who get silence.

Built from conversations with hiring managers at AI-native companies.

Param Harrison

Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com

40 minutes · intermediate

About this session

Why this one matters

Inside the hiring bar for AI engineering roles right now: the skills that decide interviews, the portfolio projects that actually get callbacks, and the interview patterns every candidate has to handle. Built from conversations with hiring managers at AI-native companies.

Who should watch

Backend, full-stack, and data engineers looking to switch into AI roles
Mid-to-senior engineers preparing for AI engineer interviews this quarter
Engineers targeting roles at AI-first companies and well-funded startups

Topics we'll cover

What's on the menu

What "AI engineer" actually means across research, infra, and application roles
The hiring bar by level: what junior, mid, and senior bands are expected to know cold
Portfolio projects that get callbacks, and the ones that kill your chances
Interview patterns across coding, system design, and behavioral, with the AI-specific twists
A focused prep plan for engineers switching in from backend or data engineering

What you'll walk away with

Leave with a blueprint

Know the skills that actually decide AI engineering interviews right now
Build portfolio projects that get callbacks instead of getting ignored
Answer the "tell me about a RAG system you built" question without sounding like a tutorial
Handle system-design questions specific to LLM-backed applications
Walk out with a focused prep plan if you are switching in from backend or data engineering

Keep going

What to do next

Go all the way: bootcamp

AI Bootcamp for Software Engineers

Go from software engineer to AI engineer. Build RAG pipelines, agents, and a capstone you can demo.

See the program

Workshop deep-dive

Learn AI Agents from Scratch

Build AI agents with pure Python. No LangChain. No CrewAI. No magic.

Open course

Grab the companion ebook

AI Engineer Interview Prep Guide

The reference for AI engineering interviews: scope by level, recurring questions, system design patterns, and portfolio shapes.

Open ebook