Agentic AI Full Stack Software Engineer III- JavaPythonReact

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

As a Agentic AI Full Stack Software Engineer III- Java/Python/React at JPMorganChase within the Asset and Wealth Management Technology Team 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 firms business objectives.

Job responsibilities

• Design develop test and deploy external client-facing web applications that embed Generative AI and Agentic AI capabilities to enhance automation personalization and decision-making
• Build React-based UI experiences for LLM-powered workflows (e.g. chat search document Q&A summarization assisted advisory) emphasizing usability accessibility and performance
• Implement and integrate agentic AI workflows that support multi-step task execution tool/API orchestration and defined human-in-the-loop controls and guardrails
• Develop and maintain front-end architecture (component patterns state management routing error boundaries) and collaborate on UX patterns for AI features (streaming responses citations traceability retry/fallback flows)
• Implement Model Context Protocol (MCP) integrations to enable AI agents to securely connect to and interact with external data sources APIs and enterprise tools in real time
• Build and maintain scalable data pipelines and data processing workflows for both structured and unstructured data leveraging cloud services to support LLM-based features and real-time client interactions
• Design and develop robust APIs and microservices to integrate AI/LLM models into client-facing platforms ensuring seamless low-latency experiences

• Develop secure high-quality production-grade code that powers client-facing applications ensuring reliability performance and compliance with financial industry standards

• Implement observability monitoring and feedback loops for agentic AI systems to track agent behavior detect hallucinations and ensure reliability in high-stakes financial applications; Gather analyze synthesize and develop visualizations and reporting from large diverse datasets to inform product improvements monitor model performance and enhance client outcomes
• Proactively identify hidden problems and patterns in data and system behavior using these insights to drive improvements to code quality system resilience and client experience
• Partner closely with product design and business stakeholders to translate client needs and business requirements into scalable AI-driven technical solutions; Ensure all client-facing solutions adhere to strict security privacy and regulatory standards applicable to the financial services industry including data protection model governance and responsible AI practices particularly as regulators increase scrutiny of autonomous AI agents in financial services

Required qualifications capabilities and skills

• Formal training or certification in software engineering concepts with 3 years of applied experience
• Experience buildingexternal-facing web applicationsusingPython / SpringBootservices React JS TypeScript/JavaScript HTML CSS and Redux
• Hands-on practical experience indesign application development testing andproduction operational stability(monitoring incident triage performance tuning)
• Proficient in coding in Java and/or Python with strong fundamentals (data structures OOP API design)
• Experience developing RESTful APIs and microservicesand integrating NLP or LLM models into production software applications
• Hands-on experience with cloud platforms (AWS or Azure) for AI/ML model deployment data processing and infrastructure management
• Knowledge of security best practices particularly in the context of client-facing financial applications (e.g. data encryption access controls regulatory compliance)
• Experience developing debugging and maintaining code in alarge corporate environment including working withdatabase querying(SQL or equivalent)

Preferred qualifications capabilities and skills

• Financial services industry experience