Senior AI Engineer

Ryz Labs; Buenos Aires; Teletrabalho; BRL 419 287 - 628 930; Tempo integral

Resumo da oferta

A cutting-edge tech company is seeking an AI Engineer to create production-level AI systems that enhance communication in educational environments. The role involves hands-on coding, building agent-driven solutions, and real-time operational dashboards. Ideal candidates are comfortable in a fast-paced, startup culture, with a proven track record in deploying effective AI workflows. This position is remote for candidates in Latam and offers the opportunity to work on transformative projects with significant impact.

Qualificações

• Experience shipping production AI systems and not just prototypes.
• Ability to delegate and review output with judgment.
• Product sense to distinguish what to automate vs. keep human.

Responsabilidades

• Build agent-driven communication pipelines that scale effectively.
• Create operational dashboards for visibility into business processes.
• Develop AI-first workflows to reduce administrative burdens.

Conhecimentos

Production AI systems experience

Fluent in fleet commander model

Hands-on coding

Comfortable in startup environment

Ferramentas

Claude Code

Cursor

Descrição da oferta de emprego

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 3‑5× 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

• 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.