Software Developer AI Jobs
Your Code Skills Are In Demand

AI companies need developers who can ship, not just researchers.
Your engineering skills are exactly what they're looking for.

AI Native Engineer Community Access

AI Feels Like a Different World.
It's Not.

AI job descriptions list ML, neural networks, and math that feel foreign.

You're a strong developer but don't know how to position yourself for AI.

You're worried you need years of ML study to make the switch.

AI Engineering Is Software Engineering.

The AI Career Accelerator

Most AI work is integration, not research. Companies need developers who can build reliable systems, write clean code, and ship products. Add LLM APIs, RAG patterns, and AI tooling to your existing skills.

1

Leverage Your Foundation

APIs, databases, deployment - you know this

2

Add AI Building Blocks

LLM APIs, embeddings, vector search

3

Build AI Projects

Create portfolio that shows both skills

Meet Your Mentor

Zen van Riel

When I started in tech, I was based in the Netherlands with no connections and only thousands of video game hours under my belt. Not exactly the ideal starting point.

My first tech job was software tester. One of the most junior roles you can start with. I was just happy someone took a chance on me.

I kept learning. Kept pivoting. But what actually accelerated my career wasn't more certifications or more code. It was learning to solve problems that matter and proving beyond a doubt that what I built solved real problems. That's the skill that stays future-proof, even with AI.

I've since worked remotely for international software companies throughout my career. Proof that the high-paid remote path is possible for anyone with the right skills and motivation. In the end, I went from a $500/month internship to 6 figures as a Senior AI Engineer at GitHub.

Becoming an AI-Native Engineer is a system I lived through and offer to you today.

Career progression from Intern to Senior Engineer

Real Results

Vittor

Vittor

AI Engineer

Landed his first AI Engineering role in 3 months

"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.

I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."

What You Will Get

Personalized Roadmap & Career Strategy

A custom plan tailored to your background, goals, and timeline. No generic advice.

Weekly 1:1 Coaching Calls

Direct access to Zen for guidance, project feedback, and answers to your questions.

Portfolio-Ready AI Projects

Build production-grade AI applications to showcase to employers. Work that gets you hired.

Interview Prep & Mock Interviews

Practice technical and behavioral interviews. Learn what hiring managers look for.

Resume & LinkedIn Optimization

Transform your online presence to attract recruiters. Stand out from other applicants.

Community Career Support

Join the AI Native Engineer community. Not seeing results yet? You stay and keep going. We're with you through the ups and downs.

Limited Availability

AI Teams Need Developers Who Can Ship

Every month you delay can cost you thousands in lost earning potential. While you're watching tutorials, others are landing $120K+ AI Engineering roles.

I can only work with a limited number of 1:1 clients at a time to ensure you get the personalized attention you deserve.

$120K+
Average AI Engineer Salary
Source: levels.fyi
90 Days
To Guaranteed Interviews
20%+
Higher Pay Than Traditional Devs

Frequently Asked Questions

Can software developers really transition to AI?

Yes, and you're often preferred over ML specialists. Here's why: AI engineering is 80% software engineering. You need to integrate APIs, build reliable systems, handle errors gracefully, and deploy to production. Pure ML researchers often struggle with these basics. Your gap is learning AI-specific tools (LangChain, vector DBs, LLM APIs), not fundamentals.

What languages and frameworks do AI engineers use?

Python is dominant, but your existing language skills matter. JavaScript/TypeScript developers work on AI-powered frontends. Go/Rust developers build high-performance inference systems. Java developers work on enterprise AI. The key additions: Python basics if you don't have them, LLM APIs (OpenAI, Anthropic), a vector database (Pinecone, Weaviate), and an AI framework (LangChain or similar).

Do I need prior AI experience?

Not necessarily. While some programming experience is helpful, many of my clients have successfully transitioned from web development, data science, or other technical backgrounds. We'll assess your current skills during our strategy call and create a personalized plan that meets you where you are.

How much time do I need to commit?

Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.

How is this different from online courses?

Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.

What if I don't land interviews in 90 days?

You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.

What's the investment for 1:1 coaching?

Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.

Can I do this while working full-time?

Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.

Ready to Land Your AI Role?

Stop watching others succeed. Start building your AI career today.

30-minute strategy call • Limited spots available