If you are hiring engineers at a startup or high-growth company, you have a specific problem: the candidates you need are in high demand, move fast, and have many options. A generalist recruiting firm that posts your job and waits is not going to work.
Here is what to look for in a technical recruiting firm, what separates boutique firms from large agencies, and the questions you should ask before you sign.
Your first 10 to 50 engineers define your culture, codebase architecture, and velocity. A bad hire at the Staff or Senior level costs months of onboarding, productivity loss, and often another recruiting cycle. A slow process costs you candidates.
The firms that consistently deliver have a few things in common:
They specialize in technical hiring, not generalist HR placement. Firms that recruit for accounting, marketing, and engineering at the same time rarely have the technical depth to screen engineers effectively.
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RFS specializes in technical recruiting — placing software engineers, ML engineers, and product leaders at high-growth startups.
Work with us → Browse open rolesThey have an active candidate network, not just a job board strategy. The best engineers are not applying to your posting. They are employed and not looking. Getting to them requires direct outreach to a maintained network.
They understand your technical requirements and can screen accordingly. A recruiter who cannot tell the difference between an ML engineer and a data scientist will waste your interview capacity.
They present a small number of highly matched candidates. The standard agency model sends 50 resumes and lets you filter. The best boutique firms send 3 to 5 people they would hire themselves.
They move fast. A 30-day average time to hire is achievable. A 90-day average is a red flag that the firm relies on inbound volume rather than active sourcing.
Large staffing agencies optimize for volume. More resumes, more placements, more revenue per recruiter. The model works for commodity hiring but breaks down for technical roles where fit matters enormously.
Boutique technical firms optimize for match quality. They take fewer roles, go deeper on each one, and present fewer candidates per search. For a startup where a single wrong hire can damage team dynamics or ship the wrong technical foundation, this matters.
The practical difference: a boutique firm typically presents 3 to 5 candidates per role. A large agency typically presents 50 resumes and expects you to screen them. The boutique model means your team spends interview time on people who are actually qualified, not filtering a pile.
Before signing with a technical recruiting firm, ask these five questions and press for specific numbers:
What percentage of your placements come from proactive outreach versus job postings? A firm that cannot answer this with a specific number is likely a job board operation. The best firms source the majority of their placements from active outreach to passive candidates. What is your average time to hire for engineering roles? Ask specifically for engineering roles, not overall. The industry average is 49 days. Firms with active networks should be closing in under 35. Anything over 60 days on average suggests they are waiting on inbound. How do you screen candidates for technical fit before presenting them? You want to understand whether recruiters are doing technical screens or just resume forwarding. The answer reveals how much of your interview capacity you will spend on unqualified candidates. What is your candidate NPS or candidate satisfaction score? A firm with high candidate satisfaction gets referrals and maintains relationships with top engineers. A firm with low satisfaction burns through relationships and loses access to the best candidates over time. Can you share examples of similar companies you have placed engineers at? Not just company names, but role type, team size, growth stage, and what happened to those engineers. Consistent outcomes in a specific niche are a better signal than a broad client list.We are a boutique technical recruiting firm that has placed 300+ engineers across 150+ companies. Our clients span the full tech landscape: enterprise software, AI infrastructure, fintech, cybersecurity, consumer hardware, healthcare tech, and developer tools.
We have placed engineers at Palantir, Mercor, Scale AI, Bugcrowd, Newfront, Decagon, 8 Sleep, Coda, Mercury Systems, Windsurf, Alchemy, Dapper Labs, Resourcely, Octave, and many others. That breadth is intentional. The skills required to find a forward-deployed engineer for a defense-grade enterprise are different from those needed to hire a founding ML engineer at a seed-stage AI company. We do both.
Our candidate network covers 900,000+ professionals across the US, built from years of proactive sourcing. We typically present 3 to 5 candidates per role and average 29 days from kickoff to accepted offer, compared to the 49-day industry average. Our candidate NPS is 90+.
If you are evaluating recruiting partners for an engineering hire, reach out here.
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