AI Engineer- Intern

## About the Product We are building an AI-powered Accounts Receivable Automation Platform that connects Salesforce (contracts), Stripe (billing), and ERP systems (NetSuite, QuickBooks) to automate: - Invoice Generation - Collections & Aging - Bank Reconciliation Our backend powers the AI agent network, integrating financial systems, managing workflows, and enabling LLM-driven automation. ## Role and Responsibilities - Design and Develop Backend Systems: Build scalable, reliable backend services using Python (FastAPI, Pydantic, MongoDB, Postgres) to power our AI agents. - Build AI-Powered Agents: Develop and improve AI agents for invoice generation, collections automation, and bank reconciliation. - Integrate with Financial Platforms: Connect seamlessly with Salesforce (contracts), Stripe (billing), QuickBooks/NetSuite (ERP), and banking APIs. - Own Data Pipelines & APIs: Architect, optimize, and maintain data ingestion, processing, and reconciliation pipelines. - Contribute to AI/ML Models: Work with LLMs, NLP, and ML frameworks (PyTorch/TensorFlow) to enhance reconciliation, classification, and forecasting accuracy. - Ensure Scalability & Reliability: Deploy and monitor services on Kubernetes/Docker, ensuring fault tolerance and performance at scale. ## Requirement - Strong knowledge of API design, distributed systems, and data pipelines. - Hands-on experience with databases (SQL & NoSQL). - Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex). - Solid understanding of cloud-native development (Docker, Kubernetes). - Knowledge of LLM-based AI agents, NLP, or financial document parsing.