Overview

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.Responsibilities

Executes research and experimentation with Large Language Models and other Generative AI technologies to solve complex risk technology challengesProduces scalable and production-ready AI systems that integrate with existing risk calculation frameworksGathers, analyzes, and synthesizes insights from diverse data sets to improve AI model performance and risk assessment capabilitiesWrites secure and high-quality code using Python and relevant AI/ML frameworksDesigns and implements AI solutions that enhance operational efficiencies across business and technology functionsDesign 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 approachesParticipate 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 respectRequired qualifications, capabilities, and skills

Formal training or certification on AI/ML applications, software engineering concepts and proficient applied experienceHands-on experience with Large Language Models (GPT, BERT, etc.)Strong understanding of Generative AI concepts and applicationsProficiency in prompt engineering techniquesAdvanced Python programming skillsExperience 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 conceptsPreferred 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 and ML.Experience with large-scale database technologiesPrevious experience applying AI solutions to business problems

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