Fullstack Python Software Engineer II

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.

Job 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

Required Qualifications, Capabilities, and Skills


* 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 resilienc...