Staffing a Software Shop's Next Client Contract: RPO or Search

Before you call anyone, work out how much of this contract your current bench can absorb versus how many net-new hires you actually need. A shop with idle billable capacity between projects can redeploy two engineers immediately and only needs to source two more, which changes the math entirely.

Pull utilization numbers for the past two quarters, not just the current one, because a bench that looks free this week may already be earmarked for a renewal you signed last month. Double-booking an engineer across two client commitments is the fastest way to turn a hiring problem into a client-trust problem.

If the gap is genuinely two or more net-new engineers with a hard start date, you are past the point where posting a job and waiting for applications is realistic. The question becomes whether you build a relationship with a recruiter who understands your stack well enough to source repeatedly, or whether you pay per placement for this one contract and start from zero again on the next one.

A single contract with a defined end date is a different hiring problem than a growing roster of ongoing retainer clients. If this is a one-off engagement and you do not expect to need four more backend engineers again for a year, a contingent search agency working on a per-placement fee makes sense: you pay only when they deliver, and you are not carrying a recruiter's retainer through slow months.

If your pipeline shows two or three similar contracts likely to land over the next year, an embedded recruiter who learns your technical interview process once and reuses it for every subsequent search costs less over time and builds a talent pool you can draw from the next time a client signs.

Custom software shops sell trust as much as code, and a chaotic hiring process shows up in client conversations. An embedded recruiter who sits inside your delivery team can tell candidates honestly what the client's codebase and working style are actually like, which reduces early attrition on a contract where losing an engineer in month two damages the relationship you spent months building.

Contingent agencies, by contrast, rarely know your clients at all. Their incentive is to close the placement, not to make sure the engineer sticks past the ninety-day mark on a specific account. For contracts where client continuity matters more than raw speed, that difference is worth paying for.

Nonexecutive hires average about $5,475 in direct recruiting cost, while executive-level or highly specialized hires can average nearly $35,900¹, and neither figure includes the billable hours your own engineering leads spend interviewing.

Say your average backend engineer bills a client at $180 an hour. Every week a contingent search stalls is a week of unbilled capacity you are not recovering from that contract, on top of whatever placement fee you eventually pay. Model both the fee and the delay cost before comparing contingent search against an embedded recruiter's flat retainer, not just the invoice total.

A retainer also lets you spread cost across roles that never make it into the original statement of work, like the QA engineer a client adds in month three once the backend team is up and running. A per-placement contingent fee resets to full price for every one of those additions, while an existing retainer recruiter simply opens another requisition.

Whichever model you use for this contract, capture what you learn. An embedded recruiter documents every candidate, interview note, and rejection reason inside your own systems, something you can draw on the next time a similar contract lands. A contingent agency's candidate list disappears when the engagement ends.

Even if you choose contingent search for this specific ramp because the timeline is too tight for anything else, ask your delivery leads to keep informal notes on every strong candidate who did not get the offer. The next signed contract will arrive faster than you expect, and a shop that remembers its near misses fills seats faster than one starting cold every time. For the broader tradeoffs across all three hiring models, see our comparison of RPO, contingent search, and in-house recruiting.

Work through the search in this order:

1. Compare the contract's headcount against bench utilization from the past two quarters to find the true number of net-new hires.
2. Match the model to how long the work lasts: contingent search for a one-off contract, an embedded recruiter for recurring project ramps.
3. Protect client trust by keeping the search organized so engineers are not double-booked or lost in the first months of the contract.
4. Budget direct recruiting cost plus the billable hours your engineering leads spend interviewing and the revenue lost while seats sit open.
5. Record every candidate, interview note, and rejection reason in your own systems so the next ramp starts with a pipeline.