Top-tier engineering talent, integrated in days.
Xtendly AI Engineers are AI-powered, Philippines-based software engineers trained on Silicon Valley engineering playbooks. They plug directly into your stack and ship production code — integrated within days, at a cost that lets you field two engineers for the price of one.
Saved per year replacing two full-time US-based engineering roles
Delivered vs. a 3-month expectation on a client project
More engineering headcount for the price of one US senior hire
Sound familiar?
Months to hire and ramp
Recruiting, interviewing, and onboarding a senior US engineer takes 60–90 days before they ship a single feature.
$200K–$400K per year
Base salary alone for a senior US-based engineer, before benefits, tools, and management overhead.
Inconsistent offshore quality
Generic offshore hires vary widely in skill and reliability, with no shared engineering standard to fall back on.
No AI-accelerated workflow
Traditional dev shops still code manually — you're paying full price without the speed gains of modern AI tooling.
A full engineering system, not just a headcount
Vetted senior talent
Engineers assessed for technical depth and matched to your stack — web, mobile, or AI/ML — before placement.
AI-accelerated development
AI-assisted coding, code review, and testing tooling built into Xtendly's engineering playbooks from day one.
Integrated into your stack
Your engineer works inside your existing repos, sprints, and tools — not a separate, siloed team.
Managed quality assurance
Code review and QA oversight built in, so velocity doesn't come at the cost of reliability.
From contract to shipped code in days, not months
Scope the role
We align on your stack, backlog, and technical goals so we match the right engineer to your team.
Set up access & tooling
Repos, environments, and AI dev tooling are configured and connected to your existing workflow.
Ship within days
Your engineer joins your sprints and starts shipping production code alongside your team.
Add seats as needed
Flex headcount up or down as your roadmap changes, with no long-term lock-in.
2 weeks delivered vs. a 3-month expectation
Leveraging AI-assisted development and Xtendly's engineering playbooks, the team compressed a quarter-long roadmap into two weeks, without cutting scope.
Casino Technology Platform · Confidential
US hire vs. generic offshore vs. Xtendly
| US-based hire | Generic offshore | Xtendly | |
|---|---|---|---|
| Time to integrate | 60–90 days | 30–45 days | Included in days |
| Annual cost per engineer | $200K–$400K | $30K–$60K | Included at $40K–$100K |
| Silicon Valley playbooks | Depends on hire | No | Yes |
| AI-accelerated tooling | Rarely | No | Built-in |
| Managed QA oversight | Internal only | Rarely | Included |
Everything you need to know about outsourced AI engineers
What is an outsourced AI engineer? +
Hiring AI engineers is not for you if? +
Bringing on outsourced engineering will fail under two specific conditions:
- Undefined Scope: If your team has not written down a spec, backlog, or clear technical requirements, an outsourced engineer has nothing concrete to execute against.
- No Internal Technical Owner: Without someone on your side who can review architecture decisions and unblock priorities, even a strong engineer will drift without direction.
How fast can we get an AI engineer started? +
How much does an outsourced AI engineer cost compared to a US hire? +
What tech stacks and specializations do Xtendly engineers cover? +
What is the minimum contract length? +
How is this different from hiring a freelancer or a generic offshore dev shop? +
Do Xtendly AI engineers use AI development tools? +
Book a free 30-minute strategy call
We'll scope your stack, walk through the playbook, and show you exactly what results to expect — no commitment required.