Every Company WANTS This Developer

Master Codebender
29 Jan 202408:19

Summary

TLDRIn this video, Zorc, a senior software engineer at an AI startup, discusses the emerging role of AI developers and its potential to dominate the tech industry. He highlights the massive shifts driven by AI, comparing it to the Industrial Revolution, and explains why AI engineers will be in high demand. He distinguishes the AI developer role from traditional machine learning and research positions, emphasizing the need for full-stack developers who can integrate AI tools into products. Zorc provides steps to prepare for this new career, including learning full-stack development, AI APIs, and building a strong AI project portfolio.

Takeaways

  • đŸ€– AI is revolutionizing the tech industry, and mastering it is key to future success.
  • đŸ’Œ The current layoffs in the tech industry are not directly caused by AI but rather by over-hiring and economic issues.
  • 📈 Companies are increasingly integrating AI into their products, creating a demand for engineers with AI knowledge.
  • đŸ› ïž A new role called 'AI Developer' or 'AI Engineer' is emerging, which focuses on using existing AI APIs rather than creating new algorithms.
  • 💡 AI developers need to understand full-stack development along with key AI technologies like OpenAI, GPT models, prompt engineering, and vector databases.
  • 💰 Salaries for AI developers can reach $300,000 or more, making it one of the highest-demand roles in the coming years.
  • đŸ›€ïž AI development is shifting from research-focused roles to engineer-focused roles as AI technologies become more accessible.
  • 📚 To prepare for an AI developer role, it's important to build a strong foundation in full-stack development and then add AI-related projects to your portfolio.
  • 🌐 Developing and deploying AI projects, including learning tools like LangChain, vector databases, and OpenAI APIs, will set candidates apart in the job market.
  • 🚀 There is a huge opportunity in the AI space, and early preparation, including building a portfolio and learning to minimize API costs, can lead to a strategic advantage in landing top roles.

Q & A

  • What are some of the key concerns that Chuck has regarding the tech industry?

    -Chuck is panicking about tech layoffs, the state of the economy, and the AI revolution. He feels overwhelmed and unsure about the future due to these massive changes.

  • How does the 'Las Bender' perceive the AI revolution differently from Chuck?

    -The 'Las Bender' sees the AI revolution as an opportunity rather than a threat. He understands that mastering AI will be crucial and believes that engineers who excel in AI will dominate the market.

  • What is the main message of the video?

    -The video emphasizes that AI will bring about a major shift in the tech industry, comparable to the Industrial Revolution. A new role, the AI developer or AI engineer, will be highly in demand and lucrative, and it’s essential to start preparing for it now.

  • What role does the speaker predict will become the most in-demand engineering job of the decade?

    -The speaker predicts that the role of an AI developer, also referred to as an AI engineer, will become the most in-demand engineering job of the decade or even longer.

  • How does the speaker define an AI developer?

    -An AI developer is essentially a full-stack developer who knows how to work with AI APIs. This role doesn't involve creating new AI algorithms or machine learning models but focuses on integrating existing AI technologies like OpenAI's GPT into applications.

  • What technologies should an AI developer be familiar with according to the speaker?

    -An AI developer should be familiar with AI APIs such as OpenAI, technologies like prompt engineering, LangChain, vector databases, and understand how to optimize AI API costs and integrate AI effectively into products.

  • Why does the speaker believe AI is creating opportunities rather than taking jobs at this stage?

    -The speaker explains that AI hasn’t started replacing jobs yet, but instead, it's generating excitement and demand for engineers who understand how to integrate AI into products. The tech layoffs are more related to overhiring during the pandemic and economic factors, not AI-driven job loss.

  • What steps does the speaker recommend to prepare for the role of an AI developer?

    -The speaker suggests starting with full-stack development skills (learning languages, frameworks like React and Node.js), then moving on to AI APIs, building AI-powered projects, learning technologies like LangChain, vector databases, and deploying these projects to build a portfolio.

  • What salary expectations does the speaker set for the AI developer role?

    -The speaker mentions that salaries for AI developers can exceed $300,000, making it one of the highest-paying roles in the tech industry.

  • How does the speaker suggest staying competitive in the evolving AI job market?

    -The speaker suggests starting early, consistently building AI projects, learning new AI technologies, and developing a portfolio to showcase your skills. He also recommends sharing your projects online to gain users and feedback.

Outlines

00:00

😹 Chuck's Panic vs. Las Bender's AI Opportunity

The narrative begins with Chuck feeling overwhelmed by the challenges in the tech market, such as layoffs, economic instability, and the rise of AI. In contrast, Las Bender sees AI as an opportunity, recognizing the importance of mastering this technology for future success. The video’s speaker, Zorc, introduces himself as a senior software engineer in an AI startup and plans to explain the new role emerging in tech due to AI, the potential earnings, and how to prepare for it.

05:02

🌍 The Tech Market and Its Transformation

Zorc describes the unprecedented changes occurring in the tech market due to AI. He compares the impact of AI to the Industrial Revolution, stating that tasks once requiring years of research are now completed in a day using AI tools. He explains the hyper-competitive job market, driven by over-hiring and economic factors rather than AI itself. Zorc emphasizes that while AI hasn’t yet replaced jobs, companies are excited about it and need engineers capable of integrating AI tools into their products, creating a new demand in the market.

⚙ The Rise of the AI Developer

Zorc introduces the emerging role of the AI developer, also referred to as an AI engineer. He clarifies that this role is not about creating new machine learning models or algorithms but about being a full-stack developer skilled in using AI APIs like OpenAI’s GPT models. AI developers need to know how to optimize costs and implement various technologies like prompt engineering, streaming, and vector databases. Zorc highlights that this role will be the most in-demand engineering job, with salaries reaching $300,000 or more, as the focus shifts from AI research to product development.

🚀 How to Prepare for the AI Developer Role

Zorc outlines how to prepare for the AI developer role. He emphasizes the importance of learning full-stack development, including technologies like React, Next.js, Node, and Postgres. Once the basics are mastered, the next step is to learn AI tools like OpenAI’s API and build small projects, such as chatbots, incorporating advanced techniques like streaming and prompt engineering. Over time, developers should expand their skills by working with technologies like LangChain and vector databases. Zorc advises building a portfolio of AI-powered projects, deploying them online, and continuously improving them to stand out in the competitive market.

📚 Building a Portfolio and Seizing the Opportunity

Zorc stresses the importance of building a portfolio of AI projects and showcasing them online to gain visibility and experience. He explains that companies are actively seeking AI developers and that having a portfolio with deployed, real-world AI projects will make candidates stand out. Zorc also mentions that he teaches these skills to his students through a bootcamp that offers unique project ideas, weekly calls, and guidance. The bootcamp is available for pre-order at a discounted price, and Zorc encourages viewers to join to get ahead in the AI revolution.

Mindmap

Keywords

💡AI Revolution

The AI Revolution refers to the rapid advancements in artificial intelligence that are transforming industries and job markets. In the video, it is compared to the Industrial Revolution, suggesting that AI will have an even greater impact. The speaker emphasizes how AI is automating processes and making tasks that once took years possible in a single afternoon, leading to a demand for a new type of engineer.

💡AI Engineer/Developer

An AI Engineer, also called an AI Developer, is a new role emerging in the tech industry due to the rise of AI technologies. Unlike traditional machine learning roles, AI developers are not focused on creating algorithms but rather on integrating AI APIs into products. The video stresses that AI engineers will be the highest-demand job in the coming years, requiring full stack development skills combined with AI API knowledge.

💡API

An API, or Application Programming Interface, is a tool that allows different software applications to communicate with each other. In the context of AI, APIs like OpenAI's GPT models enable developers to integrate powerful AI functionalities into their own applications. The video highlights the importance of understanding how to work with these APIs, such as reducing costs by optimizing the number of token calls.

💡Full Stack Developer

A Full Stack Developer is a software engineer who is proficient in both front-end (client side) and back-end (server side) development. The video states that an AI developer is essentially a full stack developer who has learned how to use AI APIs. This role requires knowledge of web development frameworks like React and Node, along with understanding how to deploy AI-powered projects online.

💡OpenAI

OpenAI is a leading organization in AI research and the provider of popular AI models like GPT. The video mentions OpenAI as the most widely used AI API in the industry, advising developers to start with its tools to build AI projects. It serves as a key example of the types of AI technologies that companies are integrating into their products.

💡Prompt Engineering

Prompt engineering is the process of designing and optimizing inputs (prompts) for AI models like GPT to generate more accurate and useful outputs. The video emphasizes that prompt engineering is a crucial skill for AI developers to improve AI interactions and minimize costs. Developers need to understand how to craft prompts that efficiently use tokens while delivering high-quality results.

💡Vector Database

A vector database is a specialized type of database used for storing and retrieving high-dimensional data, such as embeddings generated by AI models. In the video, the speaker mentions that learning how to use vector databases is an important part of building AI-driven applications. These databases are necessary for tasks like natural language processing, where the AI needs to understand complex data relationships.

💡Streaming

Streaming in the context of AI refers to delivering AI-generated content in real-time or near-real-time, ensuring smooth user interactions. In the video, streaming is mentioned as an essential skill for AI developers to implement in their projects. For example, an AI-powered chatbot should be able to provide responses without noticeable delays, enhancing the user experience.

💡Overhiring

Overhiring refers to the practice of companies employing more staff than needed, often during periods of rapid growth or economic boom. The video explains that recent tech layoffs were largely due to overhiring during the pandemic, rather than AI replacing jobs. This context helps clarify that while the market is competitive now, the AI Revolution is creating new opportunities for developers.

💡Cost Optimization

Cost optimization in AI development involves reducing the expenses associated with using AI APIs, such as minimizing token usage in AI calls. The video stresses that engineers who understand how to optimize these costs will be highly valuable to companies. By making AI implementations more cost-effective, developers can help businesses integrate AI without exceeding their budgets.

Highlights

Chuck is overwhelmed by the current tech market, seeing layoffs and economic uncertainty, while Las Bender sees AI as a huge opportunity.

AI is described as the most powerful tool to master, and the engineers who learn to harness it will dominate the market.

The video claims that a new engineering role will emerge due to the AI revolution, which is the focus of the discussion.

AI's impact is compared to the Industrial Revolution, with predictions of major changes in the tech space driven by AI.

AI APIs are drastically reducing development times, achieving tasks in hours that would have taken years for teams of researchers in the past.

The role of 'AI Developer' or 'AI Engineer' is identified as the highest demand job in tech over the coming decade.

Contrary to popular belief, AI isn't yet replacing jobs, but instead creating excitement and interest in the tech world.

Mass layoffs in the tech industry are attributed to over-hiring and bad business decisions rather than AI replacing workers.

Companies are eagerly incorporating AI into their products, driving a need for engineers who understand and can integrate AI technologies.

AI developers are essentially full-stack developers who know how to use AI APIs like OpenAI’s GPT models, Hugging Face, or Replicate.

Prompt engineering, token management, and cost efficiency are key skills that AI developers need to minimize API costs and optimize performance.

This shift marks a transition from a research-driven AI space to one dominated by engineers building real-world applications for the masses.

Salaries for AI developers are projected to exceed $300,000 as this role becomes one of the most sought after in the tech world.

To prepare for this role, individuals should focus on full-stack development skills, mastering frameworks like React, Node, and PostgresSQL.

Building a portfolio of AI projects, starting with something simple like a chatbot using AI APIs, is essential to stand out in the job market.

Transcripts

play00:00

young Chuck is looking at the tech

play00:01

market and he's panicking he sees the

play00:03

massive take layoffs the state of the

play00:04

economy and the AI Revolution coming

play00:07

he's afraid and overwhelmed he doesn't

play00:08

know what to do the Las Bender looks at

play00:10

it too but instead he sees an

play00:12

opportunity he understands AI is the

play00:14

most powerful tool to master and he

play00:17

understands that the engineers who have

play00:18

it will dominate the market he knows

play00:20

that a new type of engineer will appear

play00:22

in this AI Revolution a new role will

play00:25

open so he goes all in on mastering AI

play00:28

my name is zorc I'm a senior software

play00:29

engineer at an AI startup in New York

play00:31

City and in this video I'll talk about

play00:32

the newest role that is emerging in the

play00:34

tech space because of AI how much money

play00:36

there is to make and how you can get

play00:38

ready for it now what I currently see in

play00:40

the market I have never seen it in my

play00:42

entire life things are about to be

play00:43

really shaken up I believe that AI will

play00:45

be bigger than the Industrial Revolution

play00:47

and there will be a specific need for

play00:49

special type of Engineers to lead that

play00:51

change we're truly in a once in

play00:53

a-lifetime generational shift what used

play00:55

to take a team of researchers years of

play00:57

development time 10 years ago can now

play00:59

now be accomplished in one afternoon

play01:01

using an AI API I'm going to structure

play01:03

this video in three parts in order for

play01:05

you to understand and get ready for this

play01:07

change that is coming you first need to

play01:08

understand what the market is that's

play01:10

part one then I'm going to talk about

play01:11

what that role is how much money there

play01:13

is to make and part three I'm going to

play01:14

talk about how to get ready for that

play01:16

role there's a lot of misconceptions

play01:18

about what the state of the market is

play01:19

and what is the role of AI in it a lot

play01:21

of people act more emotionally they

play01:22

don't understand truly what's happening

play01:24

AI as of now is not replacing any jobs

play01:28

like they're not AI agents that are just

play01:29

Ling around taking people's jobs

play01:31

companies are not replacing people with

play01:33

AI yet it's going to happen down the

play01:35

line in the future the job market is

play01:36

going to completely change because of AI

play01:38

but it's not the case yet you need to

play01:40

understand this the recent take layoffs

play01:41

that we have seen those past two years

play01:42

there were massive like tens of

play01:43

thousands of Engineers being laid off

play01:45

and that makes the market hyper

play01:46

competitive and brutal like the way it

play01:48

is now because there is jobs are

play01:49

decreasing but the number of Engineers

play01:51

is increasing who are like available in

play01:52

the market but that's mostly due to over

play01:54

hiring it was due to the pandemic over

play01:56

hiring that happened Bad Business

play01:58

decisions the economy the recession and

play02:00

a couple of other factors that is the

play02:02

key reason it's not because of AI yet

play02:04

like AI hasn't replaced anyone yet so

play02:06

you need to understand this it is rather

play02:08

the opposite AI has created such a huge

play02:10

excitement in the tech world that every

play02:12

company that I know has like a slack

play02:14

Channel dedicated to to AI where they

play02:16

share news and different things like

play02:18

that so there's a huge level of interest

play02:20

and all those companies they're looking

play02:22

into incorporating AI as part of their

play02:24

product they're looking into adding this

play02:25

and this means that they need Engineers

play02:26

who understand how those tools work and

play02:29

how to properly integrate them there is

play02:30

actually a true need for that this is

play02:32

just an illustration of some of the

play02:34

recent AI companies that have appeared

play02:35

in the market and those that already are

play02:37

more established but it's just huge

play02:39

there's an enormous amount of excitement

play02:41

around the space and an enormous amount

play02:42

of companies that are creating and all

play02:44

of them are in the need of a specific

play02:46

type of Engineers so we're going to get

play02:48

into that role now this role will be the

play02:50

highest in demand engineering job of the

play02:52

decade or maybe even more it's called

play02:54

the AI developer some people also call

play02:56

it the AI engineer like the article that

play02:58

I referenced earlier uh in the slides it

play03:01

mentions the rise of the AI engineer I

play03:03

prefer calling it an AI developer

play03:04

because I think it fits more with what

play03:06

it is and I'm going to explain that in

play03:08

the next slide a lot of people confused

play03:09

what this role is because of the keyword

play03:11

AI so they hear AI they think machine

play03:12

learning new networks and things like

play03:14

this has nothing to do with it there's

play03:15

no machine learning no new Networks

play03:17

you're not creating new algorithms

play03:19

you're not doing none of those things

play03:20

what an AI developer is fundamentally is

play03:22

a full stack developer who knows how to

play03:24

use those AI apis That's all so full

play03:26

stack developer is what has existed for

play03:28

the past decade he just someone who

play03:30

knows front endend and back end

play03:31

development but then he knows those

play03:33

extra Technologies and terms that I'm

play03:35

listing here so opena has the most

play03:37

famous uh AI API that is available on

play03:39

the market they have those GPT models

play03:41

but there are other API as well but I'm

play03:42

just listing this one as like the the

play03:44

top one you can also check replicate you

play03:45

can check uh hugging face but most

play03:47

companies are going to be using open AES

play03:49

because they're like leading the market

play03:51

right now by mile but then you know what

play03:53

tokens are you know what those AI

play03:54

parameters are and how to use them

play03:56

efficiently to lower the costs cuz every

play03:58

AP I call to those AI it has cost

play04:00

associated with it and businesses want

play04:01

to reduce the cost so Engineers who know

play04:03

and understand how those things work how

play04:05

to minimize the number of tokens needed

play04:06

they're going to be very valuable they

play04:08

know how streaming works and how to

play04:09

implemented they know prompt engineering

play04:10

which is very important they know

play04:12

Technologies like length chain and

play04:13

Vector databases so this is a list

play04:15

nonexhaustive but it's a list of key

play04:17

technologies that an AI developer will

play04:19

know and will Master salaries are next

play04:21

level for this position they can really

play04:23

go wild and what is very interesting to

play04:25

notice is AI for the longest time was

play04:27

more field that researchers would go

play04:29

into so the development of AI the

play04:31

research around it those algorithms it

play04:33

was the era of researchers so this is

play04:35

when researchers were extremely valuable

play04:37

and they were leaning the way now that

play04:38

those algorithms have made available to

play04:40

the masses is the next step of the

play04:42

Revolution it's when the revolution is

play04:44

actually truly starting to happen in

play04:45

reaching the masses and to make this

play04:47

happen you don't need more researchers

play04:49

what you need is you need Engineers

play04:51

because Engineers are the ones who are

play04:52

going to be building those AI products

play04:54

that the people are going to be using

play04:55

and that's why it's super interesting

play04:56

that's why this role is the next big

play04:58

thing and you see salaries like like

play04:59

from $300,000 or more at different

play05:02

companies it's really going to be the

play05:03

hottest job available in the tech market

play05:05

for the next years to come but now the

play05:07

main question that everyone is going to

play05:08

be asking is how to get ready for it how

play05:10

can you prepare first don't get me wrong

play05:12

even though it's pretty early on and you

play05:13

have a strategical Advantage if you

play05:15

start preparing for it early it's not

play05:17

going to be easy because more and more

play05:18

people are catching up they're realizing

play05:20

that this is a big thing and it's not

play05:22

going to be easy the competition is

play05:23

going to be difficult but the

play05:25

opportunity is huge that's what you need

play05:27

to see if you start preparing early you

play05:28

do the work you will be able to seize

play05:30

this opportunity to get ready there are

play05:31

multiple steps that you need to follow

play05:33

number one if you don't know it already

play05:34

you need to learn full stack development

play05:36

so you need to learn the basic languages

play05:37

then you need to learn Frameworks and

play05:39

libraries like like react nextjs node

play05:41

postgressql and more so you need to have

play05:43

a good grasp of the fundamentals this is

play05:45

very important but then on top of it you

play05:46

need to add and learn how the most

play05:49

popular AI Works which is open AI I

play05:51

always recommend the most popular one

play05:52

because well it makes sense if you want

play05:54

to start with something start with the

play05:55

most popular one don't go with something

play05:56

that no one knows how it works or no one

play05:59

has a need so you start with the most

play06:00

popular one and you're going to build

play06:01

one project one basic project you can

play06:03

build like a chatbot for example using

play06:05

their API you're going to use their GPT

play06:06

models then you're going to learn prompt

play06:08

engineering and streaming to improve it

play06:09

so if you have a chat bot you're going

play06:10

to implement streaming into it so that

play06:12

the response comes in a very smooth way

play06:13

and then prompt engineering to improve

play06:15

the quality of the responses here I

play06:17

mentioned that you can use the versel

play06:18

asdk to make it simpler for you and go

play06:20

faster once you learn those two

play06:22

technologies you're going to improve

play06:22

your project and you want to deploy it

play06:24

online you want to go through the step

play06:25

of having it online deploying it so that

play06:27

it's a full project that is finished

play06:29

deployed and uses AI under the hood

play06:31

you're going to understand also how the

play06:32

cost Works you're going to understand a

play06:33

lot of different things if you deploy it

play06:34

once you have done that you're going to

play06:35

basically repeat this process with a

play06:37

bunch of new projects but every new

play06:39

project you're going to add a new

play06:41

technology related to AI so for example

play06:43

you're going to learn link chain and

play06:44

then you're going to implement it to

play06:45

build a new project then you're going to

play06:46

learn about Vector database you're going

play06:48

to implement that in your new project

play06:49

and so on so forth you're going to learn

play06:50

about a new API from replicate or

play06:53

hugging face and you can to implement

play06:54

that in a new project repeat that

play06:56

process do it enough to build a

play06:57

portfolio and this is one of the best

play06:58

ways of becoming ready to capture that

play07:01

position more and more companies are

play07:03

opening up for that role that AI

play07:04

engineer or AI developer role you're

play07:06

going to see it more and more popping up

play07:08

in different job portals so be ready be

play07:10

on the lookout but for you to be hired

play07:11

for the position you need to have all

play07:13

the steps that are ready you need to

play07:14

have a portfolio of AI projects that

play07:17

have been built deployed and ideally you

play07:18

want to share it online to have some

play07:20

users that you can also test and see how

play07:22

people interact with it and improve it

play07:23

based on that all of this is going to

play07:24

make you stand out and make you fully

play07:26

ready for this AI Revolution I'm

play07:28

actually teaching this to my students

play07:29

and I'm helping them become ready for

play07:31

this I'm teaching how to build a apps

play07:33

step by step I give like 10 different a

play07:35

app ideas that are like unique and help

play07:37

you stand out in the market there's

play07:38

calls every week uh it's like q&as where

play07:40

you can come ask me questions I'm going

play07:42

to help you with your project help you

play07:44

with your career do boot camp is in

play07:45

pre-order right now so it means that if

play07:46

you're interested if you want to get it

play07:48

this is the cheapest price you'll ever

play07:49

have it there's a discount specific for

play07:51

the pre-order the price is only going to

play07:53

go up after that so if you want to learn

play07:54

how to build unique a apps that stand

play07:56

out in the market if you want to learn

play07:58

how to build to get get the six figure

play07:59

jobs and get ready for this revolution

play08:01

go to lon.com booot camp and sign up and

play08:04

remember one thing we are the code

play08:06

Bender nation and for us code and AI are

play08:09

just tools to achieve our goal to reach

play08:12

freedom I hope you enjoyed this video

play08:13

and I recommend you watch this one

play08:17

next

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