Software Engineer III - Java, AI

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
 

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals.
• Develop AI-integrated workflows using LangChain, LangGraph, and Agent Protocol
• Build backend services with Java Spring Boot and frontend interfaces with React
• Deploy and maintain AI solutions on AWS
• Integrate AI systems with enterprise platforms
• Collaborate with cross-functional teams to deliver production-ready solutions
• Adhere to JPMC technology standards and security protocols
   

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience 
• Proficiency in Python and Java Spring Boot
• Experience with React for frontend development
• Hands-on experience with AWS services
• Experience with LangChain, LangGraph AI frameworks
• Knowledge of Agent Protocol and MCP servers
• Familiarity with Git and agile development
• Willingness to work on teams that develop highly scalable, secure, and resilient applications utilizing Java, Spring Boot, REST APIs, JPA, Hibernate, Swagger
• Excellent understanding of security standards, such as OAuth, TLS, JWT, Kerberos etc.
• Experience with log/metric collection and monitoring technologies, such as ELK stack, Dynatrace, Grafana

• Demonstrate independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems

  
  

Preferred qualifications, capabilities, and skills

• Experience with LLMs and prompt engineering
• Knowledge of vector databases and RAG patterns
• Understanding of event-driven architectures and Kafka
• Exposure to CI/CD pipelines and containerization
• Domain Driven Design knowledge