AI Engineer- Intern

Compensation: ₹10,000 – ₹15,000 • No equity

**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.