There’s a $100K opportunity hiding in plain sight — and most people are still sleeping on it.
While everyone’s busy learning how to “prompt better” or build toy projects, real companies are hiring real people to build real tools with Generative AI.
How do you get in?
Before we continue the story — I’m launching a $50/month GenAI accelerator for people who are serious about learning how to land roles, build real-world projects, and turn their skills into AI-powered products.
This isn’t just a course — it’s a career and business accelerator.
We officially launch end of May, but you can sign up now and lock in a 30% lifetime discount ($35/month) as a Founding Member.
Consider this an investment to your future career, and we will do our best to make it worth every penny!
Here’s what you’ll get access to as an early supporter while we build out the main offering:
✅ Weekly GenAI tool breakdowns + foundational concepts
✅ Early access to a VC research database (who’s funding what in AI)
✅ Behind-the-scenes build updates and voting on what we add
✅ Priority access to the community projects when it launches
✅ Lifetime 30% discount — you’ll always pay less than everyone else
If you're serious about starting a career with AI as a builder, landing a role, or launching your own AI-enabled product — this is the place.
👉🏾 Click here to become a Founding Member
Reply to this email if you have issues signing up or you have questions before you sign up.
So now let’s continue the story.
Google recently posted a role for a Generative AI Engineer — paying up to $200,000/year.
The job? Building features using large language models, multimodal inputs (text and images), and AI infrastructure.
Not PhD-level work. Just real-world application.
Another company, Ascendion, is hiring for a remote GenAI Engineer at up to $170K/year. You’d be helping them build RAG systems, AI chatbots, and tools that automate workflows across clients.
Even creators are getting in on it.
Chris Williamson, host of Modern Wisdom, hired a GenAI engineer to build a system that understands all his content — so he can search podcast transcripts and videos and get smart, personalized answers from his own body of work.
This is happening right now.
Companies — big and small — are actively hiring people who can build real, useful tools with Generative AI.
And these aren’t isolated cases. Based on industry data:
GenAI Engineers average $150K+ in the US, with roles reaching $375K in top companies like Anthropic.
In the UK, salaries are around £90K, with remote roles paying $145K–$220K.
Employers range from tech giants like Google, Microsoft, Meta, and AWS, to financial firms, consultancies, and GenAI startups.
Common GenAI Engineer responsibilities include:
Building chatbots, virtual assistants, and internal knowledge tools
Integrating APIs from GPT-4, Claude, or Cohere into real applications
Designing prompts, pipelines, and user-facing AI experiences
Developing RAG systems using LangChain and vector databases
Collaborating cross-functionally to launch GenAI into products
What’s being built right now? (Real-World GenAI Use Cases)
Customer Support & Automation: Companies like Best Buy use LLMs to handle tech support and rescheduling. Zalando launched a multilingual GPT assistant that boosted engagement by 23%. Engineers here build context-aware bots using company-specific data.
Content Summarization & Ads: Amazon uses GenAI to summarize product reviews and write descriptions. JPMorgan Chase increased ad CTR by 450% using GenAI copywriters. Engineers automate content workflows and model fine-tuning.
Personalized Assistants: Morgan Stanley’s GPT-4 advisor tool is used by 98% of internal staff. In healthcare, AI assistants give personalized guidance. Engineers here build secure RAG pipelines with expert databases.
Creative Media & Marketing: Coca-Cola and Heinz use image generation models in campaigns. Netflix uses GenAI to personalize thumbnails. Engineers integrate image/text models for cross-modal experiences.
Industry-Specific Applications: Healthcare (virtual nurse), law (contract analysis), fashion (AI stylists), education (AI tutors), and retail (shopping advisors) are all actively hiring GenAI talent. Google Cloud has documented hundreds of such use cases.
The GenAI Tech Stack (Skills in Demand)
To get hired, GenAI engineers need to be fluent in:
LLM APIs: GPT-4, Claude, LLaMA 2
Orchestration: LangChain, LlamaIndex
Vector Stores: Pinecone, Weaviate, FAISS
Deployment: Streamlit, Gradio, Docker
Cloud Services: Azure OpenAI, AWS Bedrock, Google Vertex AI
Monitoring: Weights & Biases, LangSmith, PromptLayer
RAG (retrieval-augmented generation) is a must-know skill.
Tools like LangChain + Pinecone are now standard in job descriptions.
VCs Are Betting Big on GenAI
If you're thinking about building, not just working — the funding is already here:
a16z: Backed Character.AI ($150M), Jasper, Synthesia
Sequoia: Backed Harvey (GenAI for legal) at $3B valuation
Lightspeed: Funded Mistral AI (open-source LLMs) and Hugging Face
Greylock: Invested in Inflection AI (Pi assistant) and Perplexity
Kleiner Perkins: Backed Together AI and Runway ML
Well-funded startups also mean well-paying GenAI jobs. Many of these firms are hiring fast across engineering, product, and research roles.
Blueprint: How to Become a GenAI Engineer (Step-by-Step)
1. Master GenAI Tools:
Use GPT-4, Claude, LangChain, Pinecone
Learn prompt engineering and RAG workflows
2. Build Real Projects:
Chatbot using your own data (RAG)
AI content generator (copy + image)
Fine-tuned LLM for a niche domain
3. Share Publicly:
Document your projects on GitHub
Write Medium posts or LinkedIn breakdowns
Create visual demos or open-source your code
4. Stay Updated & Show Passion:
Follow the latest model releases and papers
Let your curiosity drive your learning
This exact system is what helped me land my first $100K GenAI role — and what we will be teaching in the GenAI accelerator, and more.
In 2021, I landed my first AI Engineer role.
It was a big deal for me — not just because of the job title, but because of everything around it.
I had spent the previous two years working full-time as a data scientist, building my experience in machine learning, data pipelines, and solving real problems with code.
Then this opportunity came up: a company that had just raised $12 million was looking for someone to help build with generative AI and large language models — and they offered me my first six-figure salary in dollars.
Back then, the world hadn’t really caught on to what GenAI was. ChatGPT didn’t exist. Prompt engineering wasn’t a buzzword. But I could already see where it was going.
Now, we’re here. That shift I saw coming in 2021 is happening right now — in full force.
Since then, I’ve built AI tools for businesses, led GenAI projects, and developed products using GPTs, Claude APIs, vector databases, LangChain, and other tools that are now becoming mainstream.
Generative AI is the new software layer for business.
Let me explain what I mean by that.
A few years ago, businesses were racing to become “tech companies.”
They hired engineers, built dashboards, automated workflows, and tracked data. If you weren’t using software to move faster, you were behind.
Now we’ve entered a new phase.
This time, it’s not just about automating tasks. It’s about building systems that understand what you want, learn from context, and generate value — with almost no friction.
That’s what generative AI does.
Here’s what it looks like in real life:
Imagine running a business with thousands of customer reviews, support tickets, and survey responses. Before, you’d need a full team to sort through it all and figure out what customers want.
Now?
You just ask:
“Hey AI, what are our top customer complaints this month?”
“Write 10 email variations to re-engage churned users.”
“Summarize this 40-page product spec in one paragraph.”
No code. No meetings. No waiting.
This is why companies are hiring GenAI engineers, prompt specialists, and AI builders. Not to play with tools — but to turn ideas into systems that save time or make money.
Do you want to go deeper?
I’m putting together a $50/month masterclass (Sign up here to get in early) for people who are serious about learning how to land Generative AI roles — especially if you’re pivoting into this space or building your first portfolio.
But here’s the thing: This isn’t just a course. It’s a career and business accelerator.
I’m building it for two types of people:
Those who want to land high-paying GenAI jobs
Those who want to build and monetize their own AI-powered products
Here’s what you’ll get:
How I landed my first $100K+ GenAI job
What hiring managers actually look for
What to build (even if you're new)
How to position yourself for remote roles
The exact tools, workflows, and projects that matter in 2025
How to create a profile that gets attention
How to turn your GenAI skills into a real product or business
A database of VC firms actively investing in AI startups
Weekly, industry-grade trend reports to help you stay ahead
And this isn’t just theory.
Before I even started building the LockedIN mindset and app, I launched an AI podcast platform that gained paying customers and rivaled tools from companies like Google and ElevenLabs. We eventually shut it down to focus solely on LockedIN.
So everything I teach is based on what I’ve actually done — and what’s working in the real world.
For a while now, I’ve been working on the LockedIN Focus mobile app — a tool to help people build habits, stay disciplined, and get things done.
But for me, LockedIN isn’t just a brand. It’s a lifestyle. That means not just talking about focus and execution — but actually living it.
So alongside the app, I’ve been building this 10-week masterclass for people who want to become GenAI Engineers or founders.
It’s based on my own journey — from landing a six-figure GenAI role in 2021, to building AI tools for businesses, launching my own startup, and helping others do the same.
I’ve seen how fast this space is growing — and I want to help others get in early, with clarity, confidence, and the right skills.
But I’m not rushing this.
I want it to be real. Practical. And worth every second of your time.
That’s why I’m taking time to build it properly — and the full program will launch around end of May.
Until then, I’ll be sharing behind-the-scenes updates, building in public, and opening up a waitlist for those who want early access when it’s ready.
If that’s you — 👉 Click here to join the founding members
This year, I’m not just talking about being LockedIN. I’m doing it.
Let’s build something that matters.
– Blessing