Job Description
Remote position (only for candidates in Latam)
At Ryz Labs we are looking for an AI Engineer for one of our clients. We’re looking for someone who doesn’t write every line of code, but uses taste and judgment to determine what to build, then spins up parallel AI agents — each producing real output — while focusing on strategy and quality. The best builders today are 3–5x more productive than they were a year ago. The median builder is up 10–20%. We want someone in that top 5%
What You’ll Build
•Agent-driven enrollment and parent communication pipelines that scale from hundreds
to tens of thousands of families without linear headcount growth.
•10,000 simulated students testing our curriculum in parallel — stress-testing content,
surfacing gaps, and generating improvements before real students ever see it.
•Automated culture and community agents — building engagement, onboarding, and
retention systems that feel human but run at machine scale.
•Real-time operational dashboards that give leadership visibility into every part of the
business: enrollment, academic progress, parent satisfaction, campus operations.
•AI-first workflows for guides, advisors, and ops staff — freeing them from administrative
burden so they can focus on students.
•Brainlifts that capture institutional knowledge into AI systems that compound over time
— the competitive moat.
•Integration into Alpha’s broader AI ecosystem (EPHOR, Alpha GPTs, Fleet/Swarm
infrastructure)
What We’re Looking For
Required
•Has shipped production AI systems — agents, automation, LLM-powered workflows. Not
prototypes. Not research.
•Power user of Claude Code, Cursor, or equivalent. Already commanding agent fleets,
not planning to “learn AI.”
•Fluent in the fleet commander model: spins up parallel agents, delegates with clear
intent, reviews output with taste and judgment.
•Builds personally. This is a hands-on-keyboard role, not a people management role.
•Enough product sense to know what to automate vs. what stays human in an education
context.
•Moves before certainty. Sees problems nobody assigned and fixes them.
•Comfortable in a startup environment — ambiguity, speed, resource constraints.
Nice to Have
•Experience scaling ops at an education company or high-growth consumer startup.
•Familiarity with Alpha/Trilogy ecosystem and tooling.
•Background in curriculum or content systems at scale.
•Experience building real-time dashboards and business intelligence automation.
