AI Engineer Career Kit
A roadmap you can fail, and twelve interview answers written out in full.
Every roadmap stage carries a "done when" — an observable check you either pass or you do not — because the reason people stall is not missing content, it is never knowing whether they have finished anything. The twelve interview questions come with the answer written out at real length, plus what the interviewer is actually testing and what a weak answer sounds like.
One payment. No renewal.
2 stages and 3 full answers are free — read them before deciding.
This will not get you a job
Every career product in this market implies otherwise and none of them can keep that promise. Two things get people AI jobs: having built something real, and being able to talk about it credibly. This kit only helps with the second.
If you have not built anything yet, the roadmap below is where to start and the first 2 stages of it are free. Buying the rest today would not help you — come back when you have something to talk about.
What makes this different from a free roadmap
A roadmap you can fail
Every stage has a "done when" — observable checks you either pass or do not. People do not stall for lack of content; they stall because nothing ever tells them a stage is finished.
Answers, not bullet points
The twelve interview answers are written out at the length you would actually speak them. Read one aloud once and you learn how long an answer should be. A candidate holding a list of keywords never finds that out, and it is audible.
What a weak answer sounds like
Every question lists the specific things that make an interviewer stop believing you. Knowing the failure mode is more useful than knowing the model answer.
The trap at each stage
The mistake almost everyone makes, named. Starting with a framework. Judging retrieval by reading answers. Rehearsing only what went well.
Everything in it
The roadmap — 6 stages, 16–30 weeks
| The Python you actually need | Foundations | 3–6w | Free |
| Your first LLM application | Building | 2–4w | Free |
| Retrieval that actually works | Building | 3–6w | In the kit |
| Agents, tools, and knowing when not to | Building | 3–5w | In the kit |
| Getting it off your laptop | Production | 3–6w | In the kit |
| Being believed | Interview | 2–3w | In the kit |
The 12 questions
| When would you fine-tune instead of using RAG? | RAG | Free |
| Your RAG system gives wrong answers. Walk me through debugging it. | RAG | Free |
| How do you stop an LLM hallucinating in production? | Judgement | Free |
| How do you decide on a chunking strategy? | RAG | In the kit |
| When would you NOT use an agent? | Agents | In the kit |
| How would you evaluate an LLM feature before shipping it? | Systems | In the kit |
| Your LLM costs tripled last month. What do you do? | Systems | In the kit |
| What is prompt injection and how do you defend against it? | Systems | In the kit |
| The model is right 85% of the time. Do you ship it? | Judgement | In the kit |
| Tell me about something you built. | Behavioural | In the kit |
| Why not just put everything in the context window? | Fundamentals | In the kit |
| Tell me about a time you disagreed with a technical decision. | Behavioural | In the kit |
4 templates
- Project READMEFree
The README is what an interviewer reads before deciding whether to open your code. Most start with a stack list, which answers a question nobody asked.
- Resume lines for AI work
Most AI resume lines are technology lists. A line with a number and a decision in it is worth five without.
- LinkedIn headline and About section
The headline is a search field as much as a description. The About section is where most people write a paragraph nobody reads.
- The four-minute project story
The answer to "tell me about something you built" decides the tone of the whole interview. It should be rehearsed and must not sound rehearsed.
Do not buy this if
- You have not built anything yet. This turns work into an account an interviewer believes. With no work, there is nothing to turn — read the free roadmap stages and come back.
- You want a guarantee, a referral, or a job. This is a kit, not a placement service, and anyone selling you the second thing at this price is not selling you the second thing.
- You are targeting research roles. This is aimed at engineering jobs — building and shipping systems, not publishing.
- You want it as a PDF to file away. It is web access, and it is meant to be worked through rather than collected.
Questions
Will this get me a job?
No, and I would not trust anything that says otherwise at this price. What it does is shorten the distance between work you have already done and an interviewer believing you did it. The two things that actually get AI jobs are having built something real and being able to talk about it credibly — this kit only helps with the second, and only if the first is true.
How long does the roadmap take?
Between 16 and 30 weeks end to end, for somebody with a job and evenings. Each stage states its own range. Most people arrive partway through and should start at the first stage whose "done when" they cannot honestly tick.
Can I see some of it first?
Yes — 2 roadmap stages, 3 full interview answers and 1 template are readable for free with nothing held back. They are the same depth as the paid ones. If those answers do not sound better than what you would have said, do not buy the rest.
Is this just ChatGPT output?
The answers are written to be spoken by a person who did the work, which is the opposite of what a model produces unprompted — generic, hedged, and the same length regardless of the question. The test is whether an answer contains a specific number, a rejected alternative, and something that went wrong. Read the free ones and judge.
Does it cover machine-learning theory?
No. No gradient descent, no transformer internals, no maths. It covers building and shipping LLM systems and being interviewed about them. If you are being asked to derive backpropagation, this is the wrong kit.
Reviews
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Write the first reviewRead 3 answers first
Same depth as the paid ones, nothing held back. If they do not sound better than what you would have said, do not buy the rest.