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: 1.) Invoice Generation 2.) Collections & Aging 3.) 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.