Anfloy vs in-house.
Hiring an in-house AI engineering team is the long-term right answer for a small number of companies, and the wrong answer for everyone else. We're the bridge. Ship systems day one with a senior fractional team, then hire in-house when demand is steady enough to justify the headcount.
Why not just use In-house AI engineer?
Hiring a full-time AI engineer. The table reads In-house AI engineer on the left, Anfloy on the right - both honest.
3–6 months: hire, onboard, ramp, ship.
14 days. We've shipped before.
$250K+ all-in (salary, equity, benefits, tools).
$60K–$200K project-priced. No equity, no benefits.
Single point of failure. If they leave, you're stuck.
Team-of-team. Bus factor is high.
Whatever this one engineer has shipped before.
Cross-client. We've built every variant of every system.
Already in-house. No hand-off needed.
Code in your repo day one. Hire later, take over cleanly.
Better if you ship continuously for 18+ months.
Better for the first 12 months by a wide margin.
When hiring in-house is the right call
- You already have steady-state agent work for 1+ FTE across 18+ months.
- You have a senior engineering leader who can scope, hire, and ramp the role.
- Your ICP, sales motion, and content voice are already deeply documented and stable.
- You're comfortable carrying the talent risk of a single hire.
When Anfloy is the right call
- You need something shipping in weeks, not quarters.
- You haven't yet figured out what an in-house AI engineer should even do.
- You want pattern-library output from day one, not someone learning on your time.
- You'd rather convert a successful Anfloy project into a hiring rubric than guess at the JD.
Anfloy vs In-house AI engineer, answered.
Can we hire away from Anfloy if we want to bring it in-house?
Yes - and clients have. The whole engagement is designed for clean hand-off: code in your repo, infra under your accounts, documented patterns. When you're ready to bring it in-house, you have a working system to hire against, not a blank-page JD.
Why is your timeline so much faster than a hire?
Two reasons. First, we've already built the system you need - for someone else. The first 50% of any build is patterns we've already shipped. Second, no ramp, no onboarding, no context loading from scratch. Day-one productivity.
What if we want to do both - hire AND work with Anfloy?
Most of our clients eventually do. The pattern: hire one senior in-house engineer to own the long-term system; keep Anfloy on a Monthly Partnership to scale faster than one person can. Engineering capacity is a stack, not a single hire.
Are you cheaper than a junior AI engineer?
Per hour, no. Per shipped system, yes - by a lot. Junior engineers ramp on your time. We don't.
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