Writing the code is rarely the hardest part of AI engineering. The hard part is knowing whether you are solving the right problem.
A chatbot rarely stops to say, “I do not know enough about your system to answer that.” It may confidently recommend a new framework, a different model, fine-tuning, a team of agents, or all of them at once. When you are the only AI engineer on your team, that confidence can sound a lot like expertise.
That is why I am genuinely excited to make this announcement today: we are launching the Towards AI Mentorship for AI engineers.
It is the support system I wish more engineers had while they were learning, changing careers, or trying to ship a serious AI product on a deadline. Instead of making every important decision alone, you get a senior AI engineering team behind your project and your career.
Watch the full announcement here:
Companies do not hire our team because their developers cannot code. They bring us in because someone needs to challenge the architecture, find the real bottleneck, and tell them when the confident answer is solving the wrong problem.
That second opinion matters. Should the product use retrieval, fine-tuning, a workflow, or an agent? Is the evaluation measuring something users actually care about? Is a framework helping, or is it hiding the failure? Could a simpler system perform better with less cost and latency?
Inside a funded company, those questions can involve several engineers, managers, and a consulting budget. A solo engineer often has a deadline, a chatbot that agrees with almost everything, and the hope that a decision will hold up in production.
We wanted to make the kind of guidance companies normally hire us for available to individual engineers.
You are building two things at once:
You need both. A strong project without a clear explanation can disappear in a crowded portfolio. A polished resume cannot compensate for shallow technical decisions. We help you build better systems and make the judgment behind them visible.
Members receive two live sessions every week for architecture reviews, implementation questions, project feedback, and technical problem solving. The sessions rotate across time zones and are recorded.
You also get direct asynchronous access to our AI engineering team. You can bring the problem that is blocking you now: a retrieval pipeline that keeps missing the right evidence, an agent that will not stop looping, an evaluation that rewards polished nonsense, a deployment tradeoff, or a framework decision you no longer trust.
We help you identify the actual problem, compare the tradeoffs, and understand the decision well enough to own it afterward. A tool recommendation without that judgment would leave you stuck again at the next fork.
Members also receive production resources built from our work. The first production blueprint walks through the agent setup and practices our team uses, including the judgment calls and wrong turns that do not fit into a clean demo.
The program also includes monthly live events with founders, hiring leaders, senior engineers, and guests from the field. These sessions are meant to expose members to how experienced builders make decisions, not just show another finished result.
The second half of the mentorship focuses on the career behind the project.
We review resumes, LinkedIn profiles, repositories, project descriptions, and portfolios. The feedback comes from senior AI engineers and managers who know what hiring teams notice, what they discard, and what evidence makes a candidate easier to trust.
That support also includes a members-only community, a weekly curated AI job digest, and opportunities for standout members to work alongside our production team through internships. The goal is to help you present stronger evidence, get closer to real work, and stop guessing what your application is missing. The program does not promise employment.
We built the mentorship for people who are capable of building, but do not have enough experienced AI engineering support around them:
You do not need a perfect question every week. The core still arrives during a quiet month, and you can lean in harder when a launch or career move makes the questions urgent.
If you are starting from zero and cannot yet write Python, begin with the foundations first. The mentorship becomes much more useful when you can already build enough to encounter real decisions and bring them to the team. The current mentorship includes:
The price is $99 per month or $899 per year. The monthly plan can be cancelled at any time, and the yearly plan includes a 30-day money-back guarantee. The official page remains the source of truth if the offer changes.
I have spent the past six and a half years building AI systems, teaching engineers, and seeing the same pattern repeat: smart people lose weeks because they do not have someone experienced enough to challenge the first plausible answer.
This launch matters to me because it lets our 15+ engineers and mentors offer that second opinion to the person who would otherwise have to choose and hope.
If that person is you, join the Towards AI Mentorship. Bring the project on your desk, the role you want next, and the decisions you do not want to make alone. The Towards AI Mentorship for AI Engineers was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.