Intern - AI engineer

Company Description QuadX AI builds autonomous and human-in-the-loop agentic AI solutions for highly regulated industries. Using its proprietary Layered AI™ framework, QuadX AI connects every agentic subsystem to authoritative government data to ensure compliance, reliability, and trust. The company focuses on creating AI-native ecosystems that can operate within complex regulatory environments. Role Description As an Intern – AI Engineer at QuadX AI, you will support the design, development, and testing of agentic AI components used in regulated industry applications. You will assist in building and evaluating machine learning models, experimenting with neural networks and NLP pipelines, and contributing to data preprocessing and pattern recognition tasks. You will collaborate with senior engineers to implement and integrate AI features into production-grade software, write clean and maintainable code, and help document technical approaches and findings. This is a full-time, on-site role based in the Greater Bengaluru Area, where you will work closely with cross-functional teams in a fast-paced, learning-focused environment.No VIBE CODERSLocation: Office-based - north BangaloreQualificationsStrong foundation in Computer Science concepts and Software Development practices, including data structures, algorithms, and version control.Knowledge of Neural Networks and basic Pattern Recognition techniques for building and evaluating machine learning models.Exposure to Natural Language Processing (NLP) methods and tools, such as tokenization, embeddings, and transformer-based architectures.Proficiency in at least one programming language commonly used in AI (e.g., Python) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related technical field.Ability to work on-site in the Greater Bengaluru Area, collaborate effectively in teams, and communicate technical ideas clearly.Interest in AI for highly regulated domains; prior exposure to compliance, governance, or secure systems is a plus.