Pearl
Financial Technology
AIAutomationEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Automation Engineer at Pearl. Skills: AI Automation, Workflow Automation, Python Development. Build AI-powered systems. Own AI-powered systems”
What You'll Achieve.
Ship internal tool; Tool in active use; Surface automation opportunities
Industry & Context.
Work from LATAM
What They're Looking For.
Must Have
3+ years building AI tools, Active daily use of AI-native tools, Proficiency in N8N and Zapier, Python proficiency, Integrating REST APIs, Webhooks integration, OAuth integration, API key patterns, Independently scope automation projects, Deliver automation projects, Prior exposure to financial environments, C1+ English fluency
Nice to Have
Experience with agent frameworks, Experience with vector databases, Experience with RAG architectures, Basic front-end development, GitHub repository, Published portfolio, Degree from nationally recognized university, Prior fractional consulting experience
What You'll Do.
Build AI-powered systems
Own AI-powered systems
Ship AI-powered systems
Own automation backlog
Deploy fractional systems
Gather founder requirements
Ship working systems independently
Surface automation opportunities proactively
How You'll Work.
Communication Scope
Direct communication
Full Job Description
**Work From Anywhere in LATAM** **Work Schedule:** US Timezone (Flexible) | Async-first with one required daily live sync (morning or evening, candidate's choice) **Compensation Range:** $2,500 – $3,500 USD/month based on experience A multi-billion-dollar family office operating across life sciences, healthcare, and financial technology is hiring an AI Automation Engineer to build and own the AI-powered systems that create leverage for their investment team and portfolio companies. The firm is in an active build phase — not piloting AI, but shipping it. The team is lean, intellectually demanding, and operates at startup speed. They maintain a defined backlog of automation opportunities across internal investment operations and portfolio company deployments, and need a builder who can own that backlog end-to-end without waiting for direction. Day-to-day, this role splits between internal tooling for the investment team — outreach automation, cap table modeling, AI-driven memo generation — and direct fractional deployments into portfolio companies, where the hire gathers requirements from founders and ships working systems independently. Success at 90 days means at least one internal tool shipped and in active use; success at 12 months means proactively surfacing automation opportunities before they're requested. **Requirements** [](https://www.loom.com/share/863b8e426e6d48309aa8f4ea4c1c94cd)**Must-Have** * 3+ years of hands-on experience building and shipping AI-powered tools, automations, or internal systems deployed in real production environments * Active daily use of AI-native tools including Claude Code, Codex, and Cursor — verifiable through current role descriptions or a publicly accessible portfolio * Demonstrated proficiency in N8N and Zapier for end-to-end automation workflow design and deployment * Python proficiency with documented experience integrating REST APIs, webhooks, and authentication flows (OAuth, API key patterns) * Proven track record of indep
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