Website:
quadx.ai
Job details:
Company Description QuadX AI (gentic) builds autonomous and human-in-the-loop agentic AI systems for highly regulated industries, where reliability and compliance are critical. The company’s proprietary Layered AI™ framework connects each agentic subsystem to authoritative government data, supporting robust, auditable decision-making. QuadX AI focuses on creating AI-native ecosystems that can operate at global scale while meeting stringent regulatory requirements. Most recently, the foundation of a client’s AI-native Global Trade ecosystem built by QuadX AI received HMRC recognition, demonstrating the company’s commitment to regulatory alignment and innovation.
Location: Bangalore north (no remote interviews) - full-time in office 6 days/week
Intern Role Description : Do NOT apply if you are a Vibe Coder
This is a full-time, on-site Artificial Intelligence Engineer intern role based in the Greater Bengaluru Area. The intern will support the design, development, and testing of AI models and agentic subsystems using techniques such as neural networks and pattern recognition. Daily activities include prototyping algorithms, working with natural language processing (NLP) pipelines, writing and reviewing code, and integrating models into software components. The role involves collaborating with engineering and data teams to ensure AI solutions are aligned with product requirements, performance expectations, and regulatory constraints. The intern will also help document model behavior, conduct experiments, and analyze results to improve system accuracy and robustness.
Qualifications - Do NOT apply if you are a Vibe-Coder
- Completed 4-year degree in Computer Science, Computer Engineering, Artificial Intelligence Engineering - no MCA applicants considered
- Strong foundation in Computer Science and Software Development, with proficiency in at least one programming language commonly used in AI (e.g., Python, Java, or C++) as well as Next.js
- Knowledge of Neural Networks and Pattern Recognition, including experience with basic model architectures and training workflows.
- Familiarity with Natural Language Processing (NLP) concepts and tools, such as tokenization, embeddings, and sequence modeling.
- Understanding of data structures, algorithms, and basic statistics or machine learning principles.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related technical discipline.
- Ability to work on-site in the Greater Bengaluru Area, collaborate in cross-functional teams, and communicate technical ideas clearly.
- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and version control systems (e.g., Git) is beneficial.
- Interest in agentic AI, safety, and applications in highly regulated domains is a plus.
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