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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Backend Software Engineer II - AI/ React - **Company:** JPMorgan Chase & Co. - **Location:** Chicago, IL, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Microsoft Azure, Code Generation, Software Quality, Code Review, Continuous Integration, Data Security, Database Queries, Software Debugging, Distributed Systems, Software Tools, Secure Coding, Software Engineering, Software Systems, Systems Architecture, Systems Integration, Toolchain, Web Services, Google Cloud, Cloud Platform System, ReactJS, System Availability, Delivery Pipeline, Multi-Agent Systems, Backend, Event Driven Architecture, Containerization, AI Platforms, Kubernetes, Low Latency, Production Code, Maintaining Code, Apache Kafka, Front End Software Development, Virtual Agents, Api Design, Stream Processing, Docker, Programming Languages, Microservices - **Published:** July 24, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27875767/Java-Backend-Software-Engineer-Ii-Ai-React-Illinois-Chicago-7463 ## About the Role * Formal training or certification on software engineering concepts and 1+ years applied experience * Hands-on practical experience in system design, application development, testing, and operational stability * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages * Demonstrated hands-on production experience building, deploying, and operating real-time AI agents in live environments - academic or project-only experience will not be considered * Hands-on production experience with AI agent frameworks, neural cognitive task systems, and AI skillset orchestration in enterprise-scale backend engineering contexts * Proficiency in Java for backend API development with demonstrated experience building and maintaining scalable, production-grade services and integrations * Hands-on experience with React for building dynamic, responsive, and user-facing front-end applications integrated with backend AI and API services * Demonstrated experience implementing and maintaining continuous integration pipelines using industry-standard tooling to support automated build, test, and deployment workflows * Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security * Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills * Experience with cloud-based platforms and services such as AWS, Azure, or Google Cloud to support scalable AI agent deployment and backend infrastructure * Familiarity with containerization and orchestration tools such as Kubernetes and Docker for managing production AI workloads * Exposure to event-driven architectures and real-time data streaming technologies such as Kafka to support high-throughput AI agent pipelines * Experience working within financial services or highly regulated enterprise environments with a strong understanding of data security, compliance, and responsible AI requirements * Knowledge of distributed systems design patterns, microservices architecture, and API development best practices in the context of AI-integrated systems ## Description * Design, build, and operate real-time AI agents in live production environments, applying hands-on experience with agent frameworks, neural cognitive task systems, and autonomous decision-making pipelines * Engineer scalable backend services and Java APIs that power AI-driven workflows, ensuring high availability, low latency, and production-grade reliability across enterprise systems * Develop and maintain responsive, user-facing front-end interfaces using React, integrating seamlessly with backend AI services and Java APIs to deliver cohesive full stack experiences * Implement and maintain continuous integration workflows, automating build, test, and deployment pipelines to ensure rapid, reliable delivery of production software * Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down complex technical problems * Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, applying critical thinking to diagnose and resolve complex, real-world engineering challenges * Leverage 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; contribute learnings and reusable patterns to improve broader team effectiveness * Apply 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 * Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene, AI agent performance, and system architecture * Participate in code reviews, applying structured problem-solving and critical thinking to provide constructive feedback that continuously elevates engineering standards across the team ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Building the Future of Java: AI Agents, MCP, and Next-Gen App Development](https://www.wearedevelopers.com/videos/100113-building-the-future-of-java-ai-agents-mcp-and-next-gen-app-development) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project) - [React Developer Salary [2023]](https://www.wearedevelopers.com/magazine/198-react-developer-salary-2023) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)