Data Ingestion & Normalization: Plug into bank feeds (Plaid), accounting software (QuickBooks/Xero), and payment processors (Stripe/Shopify).
AI-Powered Categorization: Deploy agents to analyze, classify, and map transaction data to specific clients, product lines, and regions.
Conversational Intelligence: Enable founders to query their financial data using natural language (LLM-driven intent detection).
Real-Time Projections: Calculate cash burn, runway, and margin analysis using live data streams.
Automated AR/AP Engine: Build proactive monitoring systems that trigger automated reminders, escalating collections, and pre-approved payment workflows.
Design and Implement Scalable Services: Build robust backend logic for financial data processing using TypeScript and Node.js.
Integrate 3rd Party APIs: Deeply integrate with Stripe, Shopify, QuickBooks, Xero, and banking APIs to ensure seamless data flow.
Build AI Workflows: Implement agentic frameworks (Google Agent SDK, Vercel AI SDK) for automated bookkeeping and debt collection.
Optimize Financial Logic: Develop and refine algorithms for cash flow forecasting, margin analysis, and profitability mapping.
Full-Stack Ownership: Work across frontend and specialized backend microservices to ship user-facing features quickly.
Troubleshoot & Refactor: Pick up existing code, identify bottlenecks, and refactor for efficiency and abstraction.

5+ years of experience as a Full-stack or Backend-heavy Engineer.
You’ve built and worked on end-to-end saas, AI, fintech platforms covering all areas of the system
AI-First Mindset: You live the 10/80/10 principle (10% paper/brainstorming, 80% AI generation, 10% human refinement).
Problem Solver: You don’t just write code; you solve hard problems with creative human input.
Fast Shipper: You thrive on seeing your code in production quickly and aren’t precious about “perfection” over “progress.”
Team Player: You understand the impact of others relying on you and value proactive communication/syncing.
Detail-Oriented: You think ahead about the impact of small mistakes in financial data environments.

AI Engineer

Key skills