Engineers Hiring Engineers.
No keyword-matching. No junior coordinators. No recruiter playbooks. Just deep technical vetting by people who've shipped real AI systems.
$ cat about_protocol.md # FOUNDING_YEAR: 2024 # PHILOSOPHY: Engineers_First # VETTING: Peer-Review_Only STATUS: OPERATIONAL NETWORK: 482 Engineers Deployed RETENTION: 98.4% Client Retention
Built from Frustration.
PromptlyStaffed.ai started because we lived the problem.
We've been on the hiring side — sifting through 60 resumes for a senior ML role, only to find 3 who actually understood transformers. We've wasted 2 weeks on candidates who looked good on paper and failed a basic coding screen.
Traditional staffing agencies don't understand technical roles. They keyword-match resumes and call it sourcing. We built something different.
482+
Engineers Placed
64h
Avg. Time to Shortlist
0.02%
Vetting Pass Rate
98.4%
Client Retention
What We Believe About Hiring
01
Resumes are signals, not verdicts.
We read between the lines and validate with conversations, not ATS filters.
02
Your time is the most valuable asset you have.
If you're spending 10 hours a week on recruiting, that's 10 hours not building. We give that back.
03
A bad hire costs more than a slow hire.
Speed matters, but precision matters more. We do both by automating the noise.
04
AI hiring requires AI fluency.
We know what a RAG stack is, what fine-tuning means at scale, and what MLOps actually looks like.
Technical Founders, Technical Business.
FOUNDER_01
ML Engineer → Recruiter
Ex-ML engineer. Built data teams at multiple AI-first startups. Ran technical hiring for 50+ engineers across LLM and vision stacks.
FOUNDER_02
Architect → Operator
Full-stack architect. Designed engineering org structure for Series A companies. Deep in the AI tooling and MLOps ecosystem.
You work with us directly — not junior coordinators who don't know the domain.
What You Won't Get
- ✕We won't send you 30 resumes and call it "sourcing"
- ✕We won't pitch you someone who listed "Python" on their resume in 2019
- ✕We don't outsource interviews to contractors who don't know the domain
- ✕We don't have junior recruiter coordinators running your search
Our Peer-Review Screening Network
We partner with domain-specific engineers and AI practitioners who conduct our technical screening. For ML roles, ML engineers interview. For data engineering, data architects screen.
You benefit from real peer review — not scripted HR questions or generic coding puzzles.
Work With People Who Get It.
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