Software Engineer II (Java/Agentic)

JPMorgan Chase & Co.•New York, NY

4d•$123,500 - $150,000

About The Position

As a Software Engineer II at JPMorganChase within the Auto Technology division, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Requirements

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
Strong Python/Java programming skills, with a focus on modular, scalable, and maintainable code.
Experience with cloud platforms (AWS), containerization (Docker), and infrastructure as code (Terraform).
Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams.
Excellent problem-solving, communication, and documentation skills.

Nice To Haves

Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

Develop modular components for agentic systems to enable intelligent automation and orchestration within business platforms; continuously build, test, and maintain these components.
Own individual workstreams and Jira stories, consistently delivering high-quality code and features as part of broader AI/ML initiatives.
Collaborate closely with team members to integrate agentic capabilities into existing systems and actively support solution delivery.
Containerize and deploy agentic system components on cloud platforms (preferably AWS), strictly following established DevOps and infrastructure-as-code practices.
Apply the latest advancements in agentic frameworks (such as LangGraph, Google ADK, AutoGen), LLMs, and GenAI to assigned tasks and features by staying up to date with industry developments.
Document design decisions, implementation details, and results; clearly communicate progress and technical concepts to team members and stakeholders.
Ensure code quality, security, and compliance by conducting thorough testing, peer reviews, and adhering to best practices.