Lead Software Engineer- Agentic

JPMorgan Chase & Co.•Columbus, OH

16h

About The Position

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 JPMorgan Chase within the Consumer & Community Banking division, you will design and build critical technology solutions across Chase AI components—including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance.

Requirements

5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
Hands-on experience building agentic systems using LLMs/SLMs
Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters
Proficient in coding in one or more languages: Java, Python; able to jump between Java and Python projects as needed.
Proficiency building production services with either Spring AI and the Spring ecosystem (Spring Boot, Spring Security, Spring Cloud), or Python (FastAPI/Flask), with typed contracts, testing, and packaging.
Solid AWS background with working knowledge of ECS or EKS, containerization (Docker), and CI/CD (GitHub Actions/Jenkins/CodeBuild).
Strong API design skills (REST/OpenAPI; gRPC and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry).
Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context windows, token budgeting, and safety guardrails.
Strong testing culture: unit/integration tests, load tests, and evaluation datasets for agents.
Excellent communication and cross-functional collaboration skills.
Experience with agile methodologies and working in fast-paced, iterative development environments.

Nice To Haves

Expertise with distributed orchestration patterns for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration with enterprise tools and data.
Experience with safe rollout strategies (shadowing, A/B testing, progressive exposure), human-in-the-loop review, and continuous evaluation for quality and safety, including canary rollouts.
Knowledge of API gateways, service mesh, and multi-region high availability and disaster recovery for mission-critical services.
Familiarity with data privacy, security best practices, and regulatory compliance in financial services.
Experience with performance optimization, scalability, and reliability engineering for large-scale systems.
Ability to evaluate and integrate third-party tools, libraries, and frameworks to accelerate development.
Demonstrated leadership in technical communities, open source contributions, or industry forums.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
Contribute to software engineering communities of practice and events that explore new and emerging technologies.
Adopt and learn new technologies that positively impact agentic solutions.
Collaborate with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
Lead code reviews, mentor junior engineers, and promote best practices in software engineering.
Ensure compliance with security, privacy, and regulatory requirements in all software solutions.