Network Into an AI Engineering Team
AI and agent teams screen for people who have actually shipped, not people who list frameworks. The honest path in is a warm intro from someone who can vouch, attached to a demo they can open in one click.
Find Your Warm Path In →Free · No sign-up · See results in ~10 seconds
A plain LinkedIn search buries the people who would actually help you.
It ranks by prominence, so the most-followed, most-messaged names sit on top. FindWarmIntros surfaces the coworkers who share your school or a past employer - the people most likely to reply - and hands you a ready-to-send intro.
✍️ Ready-to-send intro“Hi - we both studied at [your school]. I’d love to hear about your path to a company you are targeting before I apply…”
… plus everyone else in your network who can put in a good word.
See who can refer you in - pick a tech target:
Why shipped proof changes how you network in
AI and agentic-automation teams are drowning in applicants who can name-drop LangGraph, RAG, and function calling but have never watched an agent loop fail in production. So they filter hard for evidence you have built something real. That means your networking cannot lead with the ask. It has to lead with the artifact.
A warm intro solves the trust problem, but only if the person vouching has something concrete to point at. 'They went to my school and seem sharp' gets ignored. 'They built an agent that does X, here is the 90-second demo' gets forwarded. Your job is to hand your connection a message they can copy-paste to the hiring manager without editing.
How to make the proof do the work
Package one thing you shipped so it survives a forward. The person you contact will not read a README, and neither will the hiring manager they send it to.
- Pick one agentic artifact, not a portfolio. A single working demo of an agent that plans, calls tools, and recovers from an error shows more than five half-finished repos. Depth reads as shipped; breadth reads as coursework.
- Make it openable in one click. A hosted demo, a Loom under two minutes, or a deployed endpoint beats a repo that needs cloning and API keys. If helping costs more than 30 seconds, it does not get forwarded.
- Write the one-line story yourself. Give your connection the exact sentence to paste: what it does, why it was hard, and the outcome (latency cut, task success rate, hours saved). Do not make them summarize your work.
- Name the shared thing first. Open with the school, the former team, or the mutual project before anything else. That is why they will open your message at all.
Finding the right person to ask (and where FindWarmIntros fits)
The hard part is not the message, it is finding a current member of that specific AI team who actually shares a school or past employer with you and would take your note. Scrolling LinkedIn by hand, you miss most of them and waste your best warm paths on people who left two years ago.
FindWarmIntros does that finding-and-ranking part for you: point it at the target company, and it surfaces the real people there you have a genuine shared connection with, ranks them by how warm the path is, and drafts the intro message so you can lead with what you share. You still pick who to contact and what proof to attach, which is the part only you can do.