Agentic AI Full Stack Software Engineer III- Python/React

Job Description

As an Agentic AI Full Stack Software Engineer III- 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 firm’s 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
• 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; contributes 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
• 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
• 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
• Proficiency in Python, with strong fundamentals in data structures, object-oriented design, and API design
• Experience building external-facing web applications with React, TypeScript/JavaScript, HTML, and CSS, and a modern state-management approach (e.g., Redux, Zustand, React Query, or Context API)
• Experience developing back-end services, RESTful APIs, and microservices using frameworks such as FastAPI/Flask (Python)
• Experience designing for scalability and resiliency, including fault tolerance and high availability
• Hands-on experience integrating NLP, LLM, or Generative AI models into production software applications
• 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
• Hands-on experience with cloud platforms (AWS or Azure) for AI/ML model deployment, data processing, and infrastructure management
• Working knowledge of application security best practices for client-facing financial applications, including authentication and authorization, secure session/identity management, data encryption, access controls, and common vulnerability mitigation
• Proficiency working with databases and data querying (SQL or equivalent)

 

Preferred qualifications, capabilities, and skills

• Financial services industry experience

About Us

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.

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. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​

Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It’s our mission to efficiently take care of our clients’ wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.