Lead Software Engineer - Fullstack Lead

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities:


* Design and deliver features across the full stack - backend APIs, AI agent orchestration, and frontend UI


* Build and maintain LLM tool integrations, keeping service responsibilities clean and well-bounded


* Integrate with internal and third-party financial data services, translating domain data into LLM-usable context


* Review the architectural surface of every feature before it ships


* Collaborate closely with team members - participating in design discussions, sharing context, and communicating trade-offs clearly both in writing and in conversation


* Keep documentation and inline comments current - stale docs are treated as bugs


* Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Java + Spring Boot - REST APIs, clean service boundaries, modern Java idioms


* Strong architecture instincts - ability to reason about service boundaries, separation of concerns, layering, and long-term maintainability


* TypeScript + React - strict TypeScript, state management, real component design


* AI/LLM integration - hands-on experience with agentic systems: tool calling, structured output, context management, prompt design


* Distributed systems fundamentals - WebSocket, SSE, REST; able to debug across multiple services


* Clear communicator - comfortable discussing technical decisions with teammates, asking the right questions, and aligning on approach before diving into implementation

Preferred qualifications, capabilities, and skills:



* Background in financial services, fintech, or wealth management - familiarity with investment products, portfolio concepts, or client data workflows is a plus


* Familiarity with MCP (Model Context Protocol) or similar LLM tool-integration patterns


* Experience with LangGraph or other graph-based agent frameworks (LangChain, AutoGen) is a plus


* Comfort operating at prototype pace - patterns still crystallizing, right abstraction not always obvious, expected to ask before guessing


* You'll join a small, high-ownership team building a next-generation AI-powered advisory platform that helps financial professionals work faster and smarter.


* This is full-stack, end-to-...