AI Engineer Intern

Batch: 2025/2026/2027. Responsibilities: - Build and improve agent harness for compliance investigation use cases - Develop and evaluate LLM-based extraction, classification, and reasoning components - Contribute to synthetic data generation for agent testing and evaluation - Write evaluation harnesses to measure agent accuracy and reasoning quality - Document agent behaviour, evaluation results, and design decisions - Track latest agentic AI research and bring relevant techniques into production (context management, long-term memory, agent learning) - Train and fine-tune machine learning models from scratch for compliance-specific use cases Requirements: - Strong foundation in Python; comfortable with ML libraries - Exposure to or strong curiosity about LLMs and agentic frameworks - Independent – able to own problems, not just sub-tasks, in a small team - Good written communication; able to document and present your work clearly - Prior coursework or projects in ML, NLP, or distributed systems is a plus - No prior fintech or compliance experience required