QUALIFICATIONS:

• Education in Computer Science, Machine Learning, or a related field
• Excellent problem-solving skills and attention to detail
• Proficiency in Python and strong programming skills
• Experience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow as well as RAG frameworks: Llama-index / LangChain
• Ability to integrate new functional AI systems with APIs, low latency backends and production deployment
• Quickly grasp new AI concepts from papers and blogs, conduct experiments, and propose system improvements
• Excellent communication skills in English, both written and verbal

ABOUT THE ROLE:

As an AI/LLM Engineer in our AI Foundation Services team, you will support the development of secure and compliant AI solutions with a focus on Large Language Models and Retrieval-Augmented Generation systems.

YOUR RESPONSIBILITIES:

• Design, develop, and implement end to end AI systems, particularly focusing on large language models (LLMs)
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes
• Conduct research to explore new techniques and technologies in AI and machine learning
• Analyze large datasets to identify trends and insights that inform model development
• Continuously monitor and improve model performance to ensure accuracy and efficiency
• Communicate technical concepts effectively to both technical and non-technical stakeholders