Software Engineer III - Agentic AI, Java/Python

JPMorgan Chase

New 🇺🇸 Jersey City, NJ, United States

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Job Description

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

As a Software Engineer III - Agentic AI, Java/Python at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payment 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 will collaborate with senior stakeholders to design, drive growth of JPMorgan Chase's Data and Analytics solutions and enable data-driven sales growth strategies. You lead hands-on engineering of driving intelligence automation and build agentic AI on NEO, the firm's agent runtime platform for Payments Technology. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Builds and operates multiple agentic solutions on NEO end to end — agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval, and evaluation harnesses
Delivers the full-stack product surface – Typescript/Next.js application on Salt Design System with virtualization at scale.
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
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
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of the software applications and systems
Implements permission-aware, auditable execution for agents, including fine-grained authorization and runtime policy checks
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, and mentors Lead and senior engineers
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s); strong Python required
Experience delivering production React (Next.js) web applications, including real-time UI (SSE/WebSocket) and working within a component/design system
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Hands-on experience building LLM-power or agentic systems, including tracing, evaluations, and guardrails
Proficient in all aspects of the Software Development Life Cycle
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
Practical cloud native experience; production Kubernetes expected

Preferred qualifications, capabilities, and skills

Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems; Graph RAG a plus
Experience with agent protocols (A2A, MCP) or multi-agent orchestration
Experience with sandboxed/secure code execution (containers and micro-VMs such as Firecracker, Kata, gVisor)
Experience with agent memory (memory nodes, episodic/semantic memory) or graph-backed retrieval
Familiarity with building or running evals for LLM/agent systems
Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)
Experience with data observability, quality, and metadata management tools

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Role Software Engineer III - Agentic AI, Java/Python
Experience 3-4 years
Work type On-site
Location United States

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JPMorgan Chase

Financial Services & Fintech · 500+ Members · New York, NY, United States

JPMorgan Chase is the largest bank in the United States, based in New York. It serves consumers and small businesses under the Chase brand, and runs investment banking, markets, commercial banking, and asset and wealth management under J.P. Morgan.

All jobs at JPMorgan Chase

Job Overview

Approx. salary range

285K – 285K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 21 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility

United States Right to work in the United States required.

Workplace

On-site

Job Posted:

1 day ago

Job Type

Full Time

Experience

3-4 years

Software Engineer III - Agentic AI, Java/Python

Job Description

Approx. salary range

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