JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3 - Java/Agentic

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeNew York, NY, USA$137.8k - $185kIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
Strong Python and Java programming skills, focused on modular, scalable, and maintainable code.
Experience with cloud platforms such as AWS, containerization with Docker, and infrastructure as code with Terraform.
Familiarity with agentic frameworks such as LangGraph, Google ADK, and AutoGen, and with integrating AI capabilities into business processes.
Ability to collaborate in agile, cross-functional teams and deliver assigned workstreams.
Problem-solving, communication, and documentation skills.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, and 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, secure handling of inputs and outputs, and resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions or break down technical problems.
Develop, test, and maintain modular components for agentic systems that enable intelligent automation and orchestration within business platforms.
Own individual workstreams and Jira stories, delivering high-quality code and features as part of broader AI/ML initiatives.
Collaborate with team members to integrate agentic capabilities into existing systems and support solution delivery.
Containerize and deploy agentic system components on cloud platforms, preferably AWS, following DevOps and infrastructure-as-code practices.
Apply current agentic frameworks, large language models, and generative AI advancements to assigned tasks and features, while staying current with industry developments.
Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders.
Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices.
Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity on complex deliverables such as code generation or refactoring, unit-test creation, and documentation; validate outputs through peer review, automated testing, and secure coding standards, and contribute reusable learnings and patterns to team effectiveness.
Apply software development life-cycle toolchain knowledge, including authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Desired Qualifications

Experience with large language models, generative AI, and retrieval-augmented generation.
Exposure to agentic system design patterns, orchestration, and workflow automation.
Ability to design and evaluate autonomous system features aligned with business goals.

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

As a Software Engineer III at JPMorganChase within the Auto Technology division, 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

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Develop modular components for agentic systems to enable intelligent automation and orchestration within business platforms; continuously build, test, and maintain these components.
Own individual workstreams and Jira stories, consistently delivering high-quality code and features as part of broader AI/ML initiatives.
Collaborate closely with team members to integrate agentic capabilities into existing systems and actively support solution delivery.
Containerize and deploy agentic system components on cloud platforms (preferably AWS), strictly following established DevOps and infrastructure-as-code practices.
Apply the latest advancements in agentic frameworks (such as LangGraph, Google ADK, AutoGen), LLMs, and GenAI to assigned tasks and features by staying up to date with industry developments.
Document design decisions, implementation details, and results; clearly communicate progress and technical concepts to team members and stakeholders.
Ensure code quality, security, and compliance by conducting thorough testing, peer reviews, and adhering to best practices.
Leverages 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.
Applies 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.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
Strong Python / JAVA programming skills, with a focus on modular, scalable, and maintainable code.
Experience with cloud platforms (AWS), containerization (Docker), and infrastructure as code (Terraform).
Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams.
Excellent problem-solving, communication, and documentation skills.
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.

Preferred qualifications, capabilities, and skills

Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG).
Exposure to agentic system design patterns, orchestration, and workflow automation.
Ability to design and evaluate autonomous system features aligned with business goals.

Base Pay/Salary: New York,NY $137,750.00-$185,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

Recently Posted Jobs

Explore more opportunities at JP Morgan Chase

See more jobs