Software Engineer III - AI Research

JPMorganChase is a financial institution providing banking, investment, and financial services. The Software Engineer III will build and ship production AI at global scale by developing Python-first AI/ML platforms and Generative AI applications, including agents. The role partners with AI researchers and machine learning teams to transform experiments into secure, scalable production products and automate cloud delivery through CI/CD and infrastructure as code.

Responsibilities:

• Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents – particularly strong in Python
• Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges
• Has an interest and familiarity with agent-based programing, especially with newest techniques
• Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems
• Uses CI/CD to deliver public and private cloud platforms, as well as familiarity with experimentation environments (e.g. Jupyter Notebooks)
• Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps
• Adds to team culture of opportunity, inclusion, and respect/
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
• 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