AI-Native Full Stack Software Engineer III - JAVA

JPMorgan Chase & Co.
Chicago, IL, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

LangGraph Framework Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Cloud Computing Software Quality Continuous Integration Cursor DevOps
+37 more
Distributed Systems Memory Management Systems Development Life Cycle OpenAI Microsoft Copilot Software Engineering TypeScript Workflow Management Systems Enterprise Software Applications GitHub Copilot LangChain ReactJS Retrieval-Augmented Generation Claude Code Multi-Agent Systems Prompt Engineering Spring-boot Model Validation AgentCore Generative AI AI Coding Agents Backend Containerization AI Platforms Kubernetes Amazon Bedrock CrewAI AutoGen Front End Software Development Virtual Agents Api Design Google Gemini Observability for Autonomous Agents Restful APIs Model Context Protocol Semantic Kernel Microservices

Job description

As an AI-Native Full Stack Software Engineer III at JPMorganChase within the Enterprise Technology organization, you will design, build, and operate modern cloud-native applications and AI-powered solutions that drive measurable improvements in developer productivity and business outcomes. You will work at the intersection of full-stack engineering and advanced AI development - building copilots, agents, and orchestration frameworks that redefine how teams deliver software. This role offers the opportunity to grow your expertise across the full AI-native engineering lifecycle while collaborating with talented engineers across the firm., * Design and develop scalable full-stack applications using modern front-end, back-end, API, and cloud-native technologies

  • Build AI-enabled applications, copilots, and intelligent agents that automate workflows and improve engineering and business outcomes
  • Develop and integrate retrieval-augmented generation (RAG) pipelines, knowledge bases, and multi-agent orchestration frameworks into production systems
  • Leverage AI-assisted development tools to accelerate software delivery, testing, documentation, and operational support across the development lifecycle
  • Implement secure, resilient, and observable cloud-native solutions aligned with engineering best practices
  • Create reusable AI skills, tools, plugins, and evaluation frameworks that can be adopted across engineering teams
  • Contribute to the adoption of AI-native engineering practices, helping elevate the team’’s collective capability and delivery velocity
  • Collaborate cross-functionally with product, architecture, and platform teams to translate business requirements into scalable technical solutions
  • Support production operations through monitoring, troubleshooting, and continuous improvement of deployed applications and AI systems

Requirements

Software Engineering, Artificial Intelligence (AI), Java, Artificial Intelligence (AI), Software Engineering, Process Improvement, Productivity Management, Cloud Applications, Application Programming Interface (API), Scalable System Development, * Formal training or certification on software engineering concepts and 3+ years applied experience

  • Proficiency in Java with hands-on experience building back-end services and RESTful APIs using Spring Boot
  • Demonstrated experience developing front-end applications using React and modern JavaScript or TypeScript
  • Experience designing and building APIs, microservices, and distributed systems in cloud-native environments
  • Solid understanding of CI/CD pipelines, automated testing, DevOps practices, observability, and production operations
  • Hands-on experience with AI platforms and ecosystems such as OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or AWS AI Services
  • Experience building AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent orchestration tools
  • Working knowledge of prompt engineering, context engineering, agent collaboration patterns, and AI-assisted software development workflows
  • Understanding of multi-agent architectures, Model Context Protocol (MCP), agentic RAG, tool integration, and workflow orchestration concepts
  • Experience with memory management, context management, workflow state tracking, and agent observability in production AI systems

Preferred qualifications, capabilities, and skills

  • Experience with Amazon Bedrock, Bedrock Agents, AgentCore, or SageMaker for building and deploying AI-powered solutions
  • Familiarity with knowledge base implementation, guardrails, model evaluation, and AI governance patterns
  • Demonstrated track record of using AI tooling - such as GitHub Copilot, Claude Code, Cursor, or similar - to measurably improve code quality, testing, security, or delivery speed
  • Experience contributing to or leading adoption of AI-native engineering practices within a team or organization

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase is at the forefront of applying AI to transform how software is built, operated, and delivered at scale. If you are an engineer who sees AI as a force multiplier - not just a tool - this is your opportunity to shape the next generation of enterprise platforms and intelligent workflow solutions at one of the world’’s most influential technology organizations., JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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