We're hiring a senior ML engineer in San Francisco to build the evaluation harness behind our clinical summaries. If you've shipped RAG in production, I'd love to hear from you.
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From their post to their inbox
A job board puts you in a pile. A hiring post tells you exactly who to write to.
Upload your resume
Intently reads the role you want, your level and your city.
It finds who's hiring
People who posted in the last three weeks that they're hiring for your role, checked against the company's open jobs.
It sends the request
A connection request with a note written for that person, from their post and your resume.
Your resume follows
When they accept, it sends a DM with your resume attached and the part of it that fits their role.
Real posts it found, and the notes it wrote
One run for a sample ML engineer in San Francisco, saved 28 Oct 2026. Nothing edited.
Kurt ThornChief Technology Officer, ArrePath I'm hiring an AI Engineer (II/Senior) to work with me at ArrePath! We … remote (U.S.) | $130–170K + equity and benefits Details:
Note to Kurt, 252 of 300 characters
Hi Kurt, I built the retrieval-augmented triage assistant used by 400 clinicians at Lumen Health, so an AI Engineer (II/Senior) working directly with you at ArrePath is close to my own work. Will the first project lean more on RAG or on LLM evaluation?
Mike CaballeroEngineering Lead, Pi Security We're hiring an AI engineer and a frontend engineer at Pi Security! Small … Pi Security, San Francisco, CA
Note to Mike, 184 of 300 characters
Hi Mike, What would the first project be for the AI engineer at Pi Security? I cut inference cost by 38% by moving a classifier from GPT-4-class calls to a fine-tuned 8B model on vLLM.
Ying MaMachine Learning Engineer, Candid We're hiring! I'm looking for an AI/ML Engineer to join my team at Candid. We are building out our automated insights capabilities and need someone who is …
Note to Ying, 241 of 300 characters
Hi Ying, I wrote the LLM evaluation harness (200 graded cases, regression checks in CI) that gates every model change, which is the kind of check automated insights at Candid would need. Will the insights come from LLMs or from other models?
It also found 2 more posts and said why it didn't write to them. Run it yourself to see the whole list.
Try it on your resume
In about two minutes it finds people hiring for your role and writes the note it would send each one. Nothing is sent from here. No resume handy? Run it on the sample ML engineer's.
Your resume PDF is used for this run only. It isn't saved.
What happens in the next two minutes
- Read your resume
- Search LinkedIn posts from the last three weeks
- Score each post against you
- Check the role is open and who posted
- Write a note to each person
Live run
Not a mass-apply bot
Written for one person
Each note answers that person's post. No template goes out twice.
Resume only after they accept
It's sent in a DM once they connect with you, never cold.
Everything in one list
Every request and DM sits next to the post it answered and where it stands.
Questions
Does it send the messages for me?
Yes. It sends each person a connection request with a note, and when they accept, a DM with your resume.
Who does it write to?
Hiring managers, founders and recruiters who posted in the last three weeks that they're hiring for your role.
When does my resume go out?
Only after someone accepts your request. It's never attached to a cold message.
Can I see what it sent?
Every request and DM is in your list, with the post it answered and whether they've accepted.
How is it different from a job board?
A job board puts your application in a pile. Intently sends it to the person who said they're hiring.
Is my resume stored?
Only to send it to people who accept. Delete it any time and it's gone.