Fullstack Python Software Engineer II

JPMorganChase•Plano, TX

About The Position

As a Python Full Stack Software Engineer at JPMorgan Chase within the Asset and Wealth Management division, you will be part of an agile AI team responsible for building and delivering end-to-end generative AI solutions. You will contribute to the design, development, and deployment of innovative AI-driven applications, working across both backend (Python) and frontend (React) technologies, and leveraging cloud platforms such as AWS. This role offers the opportunity to gain hands-on experience with state-of-the-art AI technologies while developing your skills in a collaborative and inclusive environment.

Requirements

2+ years of hands-on experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code using Python and database querying languages.
Demonstrable ability to code in Python for backend development.
Hands-on experience with React.js for frontend development.
Exposure to cloud technologies such as AWS (EC2, EKS, ECS, RDS, S3, Lambda).
Experience across the full Software Development Life Cycle.
Exposure to agile methodologies, CI/CD, application resiliency, and security practices.
Strong problem-solving skills and ability to work collaboratively in a team environment.
Excellent communication skills.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Nice To Haves

Familiarity with LLMs and exposure to AI/ML concepts.
Experience with RESTful APIs and integration of backend and frontend components.
Understanding of Asset and Wealth management business processes.

Responsibilities

Contribute to the design, development, and deployment of generative AI solutions, working across backend (Python) and frontend (React) components.
Write secure, high-quality, and maintainable code for AI-driven applications with guidance from senior engineers.
Assist in integrating large language models (LLMs) and other AI/ML components into production systems.
Develop, debug, and maintain code for web applications, ensuring seamless integration between backend and frontend.
Apply knowledge of the Software Development Life Cycle (SDLC) and automation tools to improve development efficiency.
Troubleshoot and resolve technical issues, collaborating with team members to deliver robust solutions.
Participate in code reviews, agile ceremonies, and contribute to best practices for secure and stable application development.
Gain exposure to cloud technologies (AWS) and support the deployment of AI solutions in cloud environments.
Gather, analyze, and interpret data to identify issues and support decision-making for AI solution development.
Contribute to a team culture of diversity, opportunity, inclusion, and respect
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation