Artificial Intelligence Engineer

Company Description

Payflow is building Luca, an AI FP&A analyst that provides executives with AI-powered financial insights, analytics, detailed reporting, planning, and forecasting. Luca enables companies to save tens of thousands of dollars and 400+ hours per year, delivering critical business value within just one quarter. We're backed by many great investors including Y Combinator, Kickstart Fund, Bessemer Venture Partners, and Harlem Capital.

What You'll Build

You'll be at the forefront of AI innovation, working on:

• Advanced AI Agents: Build sophisticated multi-agent systems that can analyze complex financial data, generate reports, and provide actionable insights
• Intelligent Data Processing: Develop AI systems that can understand, categorize, and extract insights from disparate data sources
• Natural Language Interfaces: Create conversational AI that can answer complex financial questions in plain English
• Predictive Analytics: Build AI models that can forecast trends, identify patterns, and provide strategic recommendations
• Real-time Intelligence: Develop systems that provide instant financial insights and alerts

Our Tech Stack

• AI/ML: LangGraph, Anthropic, custom AI agents, Pinecone, NumPy, Scikit-learn
• Data: BigQuery, Redis, PostgreSQL, Kafka
• Backend: FastAPI, Python, async/await patterns, microservices
• Infrastructure: Docker, Kubernetes, DigitalOcean, CI/CD, LangSmith
• Frontend: Next.js, TypeScript, Tailwind

What We're Looking For

You're a builder who:

• Thinks big: You see the potential for AI to transform entire industries
• Loves complexity: You thrive on solving hard problems that others find impossible
• Ships fast: prioritizes delivering working solutions quickly and improving them over time
• Wants impact: You're motivated by building things that will be used by thousands of businesses

Technical Requirements:

• 4+ years building production AI/ML systems/agentic experiences
• Deep experience with modern AI tools (LangGraph, Pinecone, etc.)
• Strong Python skills with async/await patterns
• Experience with large-scale data processing and real-time systems
• Knowledge of financial data and analysis (bonus, not required)