Fractional AI Engineer
The forward-deployed model: I join your standups and your repository, work in your stack and on your hours, and ship AI features with your team, without a full-time hire.
- Pricing
- Quoted per scope
- about 8–10 hours a week
Who it's for
- Startups and product teams that need AI features but not another full-time salary yet.
- Engineering teams that want someone to own their first LLM features end to end.
- Companies on US time that want a bilingual engineer with full working-hours overlap.
What you get
- Hands-on engineering on your roadmap, about 8–10 hours a week.
- LLM features, agents and integrations: APIs, MCP servers and internal tools.
- The product engineering around them: Next.js, Node.js / NestJS, Laravel, PostgreSQL / MySQL, AWS.
- Weekly written updates and code reviews inside your workflow.
How it works
30 min
Intro call
Your roadmap, your stack and where AI fits.
30 days
First month
We agree up front on what ships in the first month.
Ongoing
Month to month
Scale the hours up or down as the roadmap changes.
Pricing
- Part-time
- About 8–10 hours a week
- Quoted per scope
- More hours
- Up to half-time
- Quoted per scope
Scoped in a free 20-minute call. Invoiced monthly.
Questions
What does “forward-deployed” mean here?
That I work inside your team rather than from a distance: in your meetings, your tools and your codebase, responsible for the result and not just the ticket.
Which time zone do you work in?
Guatemala (UTC-6, no daylight saving time), which gives full overlap with US working hours.
Can this become a full-time role?
Yes, if it's a good fit for both sides.
Tell me what you want to automate.
A 20-minute call is enough to tell whether AI makes sense for your case and what it would take. In English or Spanish.
I reply within 24 hours.
Guatemala (UTC-6): full overlap with US working hours.