Forward Deployed Engineer Intern

Compensation: ₹2L – ₹2.4L • No equity

Role: Forward Deployed Engineer (FDE) Intern — AI Model Training, Deployment & Integration Team: Finzo AI — Applied AI / Deployment Employment Type: Full-time Internship Location: Remote Duration: 6 months Reporting To: Engineering Lead

About Finzo AI Finzo AI is a financial intelligence platform that replaces manual financial operations with autonomous AI agents. AI agents connect to your existing ERP and bank accounts and take over accounts payable, accounts receivable, GST and TDS compliance, bank reconciliation, concurrent audit, and month-end close — without changing how your team works. Most AI finance tools are copilots — they suggest, a human re-verifies, and the headcount never goes away. Finzo AI is built differently. Every compliance verdict is computed by deterministic code, not inferred by a model. Every invoice is audited at submission, not at month-end. Every MSME payment deadline is enforced automatically before it becomes a tax disallowance.

Role Overview The FDE Intern will work at the intersection of AI, software engineering and customer deployment. The role involves taking Finzo AI's AI models and workflow agents from prototype toward production deployment in enterprise environments running SAP, Oracle and ERPNext. The source specifically describes this role as supporting AI model training, deployment and integration, including document intelligence and workflow automation.

Key Responsibilities

AI Model Development ● Assist with evaluation and fine-tuning of AI/ML models. ● Work on document extraction and classification. ● Support AI workflows for finance documents. ● Assist with classification of documents and financial information. ● Analyse model outputs and identify errors.

Model Evaluation ● Build evaluation datasets. ● Run model evaluation experiments. ● Measure: ○ Accuracy ○ Precision ○ Recall ○ Classification performance ○ Automation rate ● Track model performance across different document types. ● Identify failure patterns.

AI Deployment ● Support deployment of AI models into enterprise environments. ● Work with: ○ SAP ○ Oracle ○ Frappe/ERPNext ● Assist in configuring production environments. ● Troubleshoot deployment problems.

Data & Training Pipelines ● Prepare and clean training data. ● Support training runs. ● Maintain evaluation datasets. ● Assist in creating data pipelines. ● Monitor model performance.

Enterprise Integration ● Assist with API integrations. ● Work on data mapping. ● Troubleshoot authentication issues. ● Debug environment-specific integration problems. ● Help connect AI services with enterprise systems.

Customer Deployment ● Support implementation teams during customer deployments. ● Understand customer-specific workflows. ● Assist with configuration and integration. ● Participate in technical discussions with customers under senior guidance. ● Document customer-specific deployment requirements.

Documentation ● Create deployment runbooks. ● Document integration patterns. ● Maintain troubleshooting guides. ● Document model evaluation procedures.

Required Skills ● Strong Python fundamentals. ● Coursework/project experience with ML or LLM-based models. ● Basic understanding of APIs. ● Basic understanding of cloud/container deployment. ● Understanding of software engineering fundamentals. ● Ability to troubleshoot technical issues. ● Comfortable working directly with mentors and occasionally in client-facing scenarios.

Good to Have ● LLM fine-tuning experience. ● RAG pipeline experience. ● LangChain. ● LangGraph. ● Machine learning project experience. ● NLP/document intelligence experience. ● Docker. ● Cloud deployment experience. ● ERPNext/Frappe experience. ● SAP or Oracle exposure. ● Interest in fintech/compliance.

Key Performance Indicators ● Model evaluation quality. ● Accuracy of data preparation. ● Successful deployment of AI models. ● Speed of troubleshooting. ● Integration quality. ● Documentation quality. ● Ability to handle customer-specific technical requirements. ● Model automation/accuracy improvements.

What the Intern Will Gain ● End-to-end AI deployment experience. ● Exposure to model training and evaluation. ● Experience taking AI systems from prototype to production. ● Enterprise integration experience. ● Exposure to SAP, Oracle and ERPNext. ● Applied AI and customer-facing engineering experience. ● Potential full-time conversion based on performance.