Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes research and experimentation with Large Language Models and other Generative AI technologies to solve complex risk technology challenges Produces scalable and production-ready AI systems that integrate with existing risk calculation frameworks Gathers, analyzes, and synthesizes insights from diverse data sets to improve AI model performance and risk assessment capabilities Writes secure and high-quality code using Python and relevant AI/ML frameworks Designs and implements AI solutions that enhance operational efficiencies across business and technology functions Design and develop fast, responsive and visually appealing user interfaces using React, HTML, and CSS, ensuring a seamless user experience. Implement and maintain reusable code and libraries for future use, ensuring consistency and efficiency in UI as well as backend development. Mentors junior team members in AI/ML technologies and approaches Participate in code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement and learning. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on AI/ML applications, software engineering concepts and proficient applied experience Hands-on experience with Large Language Models (GPT, BERT, etc.) Strong understanding of Generative AI concepts and applications Proficiency in prompt engineering techniques Advanced Python programming skills Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) Familiarity with cloud-based AI services (AWS, Azure, or GCP) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Overall knowledge of the Software Development Life Cycle, with a focus on both front-end and back-end development processes and best practices. Strong communication skills to explain complex technical concepts Preferred qualifications, capabilities, and skills Experience working in financial domain is a plus. Knowledge of model fine-tuning and Retrieval Augmented Generation (RAG) Experience with AWS/Databricks/Kubernetes/AI & ML. Experience with large-scale database technologies Previous experience applying AI solutions to business problems