AI engineering is mostly decisions. Hundreds of them. The problem is you can still build a great demo by making the wrong ones, and that’s probably why you’re not hearing back on job applications.
We see this in our community and deployment work. Companies solve the decision problem by hiring senior engineers or bringing us in. Individuals with budget hire consultants at $200–500/hour. Everyone else figures it out alone. Access to senior engineers who can guide your production decisions and your career has been locked behind price tags and availability shortages that keep you from doing your best work and landing the roles you’re qualified for.
With Towards AI Mentorship, we’re opening that access to everyone. Our engineering team, 15 senior AI engineers who’ve collectively shipped 21+ production systems for Europol, Intel, J.P. Morgan, and the New York Public Library, on call for your questions. $99/month.
See what’s inside the mentorship →
The core of this membership is simple: you always have a senior engineer behind you. Someone who looks at your system and tells you what holds and what breaks before you ship. Someone who reviews your resume and tells you specifically why you’re getting filtered out. Someone who builds production thinking with you: the tradeoffs, the judgment calls, the engineering decisions that a demo will never surface and that hiring managers are actually screening for.
Post your question any day. Get a written answer from an engineer who’s deployed that system. A real diagnosis from someone who’s been in production long enough to see what you can’t yet.
Everything else is built around that core:
Live Q&A twice a week, across two time zones: bring your architecture tradeoff, your stuck deployment, your career question. You’ll always find a session that works for you.
Every month, you get what we call a production blueprint. Best practices we’ve learned from deployment work, or a full system we’ve already built for clients, handed over with the judgment calls behind it. The first one: our current setup and best practices for working with agents as engineers, the same setup and tips our team uses daily.
Resume, LinkedIn, and portfolio reviews: written feedback in 48–72 hours from engineers who’ve been on the hiring side.
Our Python for LLMs and LLM Fundamentals courses, included from day one. Every other course: 25% off. Courses in development: 50-90% off at alpha.
Monthly workshops with industry leaders from Google, OpenAI, and senior engineers in the field.
The engineers behind it: Omar, production LLM systems, AI Engineer World’s Fair. Fabio, one of the most-read NLP newsletters in the field. Samridhi, AI scribe serving 200+ physicians across 105 facilities. Louie, ex-VP J.P. Morgan, Towards AI co-founder. Plus 11 more. Not marketplace mentors. Our team.
We launched this week, and we’re being upfront about that. There’s no wall of testimonials yet. What there is: a team that’s been answering these questions in Discord, in course channels, and in DMs for years and genuinely enjoyed doing it. We just gave it structure. The first people who join will shape this alongside us, the same way our earliest students shaped the courses. We’d love for you to be one of them.
$899/year saves 24% · 30-day money-back on yearly · cancel monthly anytime
The idea of having experienced AI engineers to guide those tricky production decisions sounds really useful, especially for people learning on their own. On the lighter side, when I get some free time I usually play https://rocket-goal.io for a quick break, and it’s a fun little way to relax between projects.