Company DescriptionAt Kureita, we are a passionate team of researchers and engineers dedicated to harnessing the power of Reasoning Augmentation Systems (RAGs) and Artificial Intelligence (AI) to tackle real-world challenges that impact people's lives. We believe AI has the potential to revolutionize various aspects of our world, and our mission is to ensure this potential is translated into practical solutions that address humanity's needs.
Role Description Create fresh approaches based on the most recent advancements in Gen AI research. Put into practice sophisticated RAG systems, such as guardrails, rerankers, long-horizon reasoning, and effective context management techniques.Create a reasoning engine that can adapt to diverse types of constraints. Adjust hyperparameters and fine-tune processes to optimise generative AI models' performance. Use cloud platforms to deploy and manage AI models, keeping scalability and security in mind. Investigate and include knowledge graphs and graph-based RAGs to expand the platform's reasoning and knowledge base.
QualificationsStrong programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorchProven mastery of advanced LLMs, especially in the areas of local hosting and adversarial model construction. Well-versed in data structures and algorithms, with proficiency in Python, Java, or C++ programming languages.An undergraduate or graduate degree in computer science, AI, or machine learning. Solid foundation in neural networks, computer science, machine learning, and natural language processing.
Please note that this is an internship role but is amendable to a contract and compensation will be provided.