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 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.

 Preferred qualifications, capabilities, and skills

• 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.