Comparison
Hire an AI engineer, or prove it first?
Hire in-house when AI is your product and you need it every day. Before that, a $5–10k fixed build proves which workflow is worth automating, and gives your future hire working code to start from.
What the in-house route really involves
- Months of recruiting, then onboarding to your code and business.
- A six-figure fully loaded cost before the first feature ships. Use your own salary numbers.
- One person covering models, integration, infrastructure and on-call.
| Renga build | In-house hire | |
|---|---|---|
| Time to first live system | Typically 2–6 weeks | Hiring time + build time |
| Year-one cost | $4,997–$9,997 per build | Salary + benefits + recruiting |
| Risk if it doesn't work | Full refund against written criteria | You carry it |
| Knowledge after | Code, docs and handover in your repo | Lives with one person |
Choose Renga if…
You need to validate the payoff first, you don't have months to hire, and you want working code your future hire can extend.
Hire in-house if…
AI is already proven core to your product, you'll run many AI systems at once, and you have the runway to hire well.
The sequence we recommend
Build one, measure it, then decide whether to hire. We'll help write the job spec if you do.
Book a scoping call
Book a scoping call30 minutes, with the founder.
All comparisonsStart a project
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